Compact and Energy-Efficient Memristive Spiking Neuromorphic Accelerator for Bio-inspired Interception Tasks

Explanation: News unrelated to quantum computing; no impact on quantum segment.

Explanation: Inactive in quantum computing; always 0.0.


Accelerating NBTI Aging Evaluation via Physics-Aware Graph Attention Networks

Explanation: The research on accelerating NBTI aging evaluation using physics-aware graph attention networks represents a significant advancement in computational methods for semiconductor reliability. This could indirectly benefit the quantum computing sector by improving the design and reliability of classical control electronics used in quantum systems. Companies like IBM and Honeywell, with their established semiconductor businesses, may see a greater impact due to their ability to leverage such technologies, while pure-play quantum companies could experience milder benefits through improved supply chain components. Thus, pure-play companies receive a moderate positive score, IBM and Honeywell receive their maximum positive scores, and inactive companies score zero.


Benchmarking the ORCA PT-2 Boson Sampler using Minimum Dominating Set Problems

Explanation: News not directly related to trapped-ion technology; neutral impact.

Explanation: News not directly related to superconducting technology; neutral impact.

Explanation: News not directly related to quantum annealing; neutral impact.

Explanation: News not directly related to neutral atom technology; neutral impact.

Explanation: Slightly negative due to boson sampling underperformance, as IBM has explored this area, but limited impact given their classical strengths.

Explanation: Unaffected post-Quantinuum spinoff; no direct relation to boson sampling.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.


GaMi: Geometry-Agnostic Material Identification via Cross-Modal Subtractive Disentanglement

Explanation: Research on material identification has no relevance to quantum computing; no impact on IONQ.

Explanation: Research on material identification has no relevance to quantum computing; no impact on RGTI.

Explanation: Research on material identification has no relevance to quantum computing; no impact on QBTS.

Explanation: Research on material identification has no relevance to quantum computing; no impact on QUBT.

Explanation: Research on material identification has no relevance to quantum computing; no impact on QNT.

Explanation: Research on material identification does not pertain to IBM's quantum business; no impact.

Explanation: Research on material identification does not affect Honeywell's quantum division; no impact.

Explanation: Inactive in quantum computing, always 0.0.


Cross-Generational Transfer of Adversarial Attacks Reveals Non-Monotonic Safety Alignment in LLMs

Explanation: Research on classical LLMs has no direct impact on pure-play quantum companies.

Explanation: AI safety concerns may negatively impact IBM's AI business, with potential indirect effects on overall sentiment, including quantum segments.

Explanation: Similar to IBM, AI safety issues could affect HON's AI interests, with minor impact on quantum revenue.

Explanation: Inactive company, fixed score of 0.0.

Explanation: Inactive company, fixed score of 0.0.

Explanation: Inactive company, fixed score of 0.0.


Computational Phase Transitions in Binary Compressed Sensing: Quantum Annealing Inside the Relaxation Gap

Explanation: Research is specific to quantum annealing; IONQ uses trapped-ion gate-based technology, not directly impacted.

Explanation: Research is specific to quantum annealing; RGTI uses superconducting gate-based technology, not directly impacted.

Explanation: Research directly validates D-Wave's quantum annealer, showing superiority over classical methods in a key application.

Explanation: Research is specific to quantum annealing; QUBT uses neutral atom gate-based technology, not directly impacted.

Explanation: Research is specific to quantum annealing; QNT uses trapped-ion gate-based technology, not directly impacted.

Explanation: Research does not involve IBM's superconducting gate-based quantum efforts; minimal indirect impact.

Explanation: Research does not involve Honeywell's trapped-ion gate-based quantum efforts; minimal indirect impact.

Explanation: Inactive company, no quantum computing relevance.


Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety

Explanation: The academic paper on LLM safety is irrelevant to pure-play quantum hardware companies (scored 0.0). IBM benefits due to its AI focus (score +0.15). Honeywell has minor AI relevance (score +0.1). Inactive companies score 0.0.


The Quantum Computing Boom Is Back. IBM Proves It Is the Smartest Stock to Buy - Barchart.com

Explanation: Article highlights IBM as the top stock in a resurgent quantum boom. IBM max positive; pure-plays moderate positive; HON small positive; inactives zero. Novelty: High (resurgence). Decay: Moderate (sector effect fades, IBM's endorsement may persist).


Stanford quantum computing breakthrough uses twisted light to work without extreme cooling - ScienceDaily

Explanation: Trapped-ion company; benefits from industry-wide progress but not directly threatened by photonic breakthrough.

Explanation: Superconducting company; requires extreme cooling, which the breakthrough could undermine.

Explanation: Superconducting (annealing) company; extreme cooling dependency makes it vulnerable.

Explanation: Neutral atom company; extreme cooling dependency leads to negative impact.

Explanation: Trapped-ion company; similar to IONQ, positive from industry advancement.

Explanation: Superconducting company with ~2% quantum revenue; negative impact but diluted.

Explanation: Trapped-ion company with ~1% quantum revenue; minor positive from industry news.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting

Explanation: Pure-play quantum company; classical advancements in time-series forecasting reduce demand for quantum solutions, leading to a negative signal.

Explanation: Pure-play quantum company; similar negative impact due to enhanced classical methods competing with quantum applications.

Explanation: Pure-play quantum company (D-Wave); classical improvements may erode quantum relevance in optimization and forecasting.

Explanation: Pure-play quantum company; negative signal from classical model advancements reducing quantum demand.

Explanation: Pure-play quantum company (Quantinuum); classical breakthroughs may decrease investment appeal in quantum for forecasting.

Explanation: Classical ML advancement benefits IBM's dominant AI business, providing a slight positive signal despite small quantum segment.

Explanation: Similar to IBM, classical improvements support Honeywell's non-quantum applications, resulting in a slightly positive signal.

Explanation: Inactive; not part of the quantum computing universe.


SweetFruit: A Two-Stage Mobile Sensing System for Real-Time Fruit Sugar Estimation

Explanation: No relevance to quantum computing; news is about agricultural sensing.

Explanation: Slight positive due to minor relevance to sensor or embedded systems business, but minimal impact on quantum division.

Explanation: Positive, as Honeywell's sensor business is validated by this application, enhancing overall sentiment.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.


Is This New Quantum Computing IPO the Best Under-the-Radar Stock of 2026? - The Motley Fool

Explanation: Quantinuum's IPO news is highly novel and positive for QNT (+2.0). Competitors (e.g., IONQ, RGTI, QBTS, QUBT) receive negative scores due to competitive pressure. IBM and HON have minor negative scores due to small quantum exposure. Inactive companies score 0.0.


Powering An Ecosystem Of Pedagogical AI Agents: A Validation Strategy For A Unified Data Architecture

Explanation: News is about classical AI in education with no quantum computing relevance; pure-play quantum company unaffected.

Explanation: News is about classical AI in education; no relevance to IBM's quantum division, which is a small part of its business.

Explanation: News is about classical AI in education; no relevance to Honeywell's quantum business, which is a small part of its portfolio.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to IonQ's trapped-ion quantum technology; no impact.

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to Rigetti's superconducting quantum technology; no impact.

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to D-Wave's quantum annealing technology; no impact.

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to Quantum Computing Inc.'s neutral atom technology; no impact.

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to Quantinuum's trapped-ion technology; no impact.

Explanation: IBM has significant expertise in spintronics and MRAM; this research could benefit their classical business, indirectly supporting the company. Low positive score due to ~2% quantum revenue share.

Explanation: Research on classical in-memory computing (spintronic MRAM) is unrelated to Honeywell's trapped-ion quantum technology; no impact.

Explanation: Inactive in quantum computing; always 0.0.


Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design

Explanation: High relevance as a pure-play trapped-ion hardware company; advances in materials design can directly improve quantum device performance.

Explanation: High relevance as a pure-play superconducting hardware company; materials optimization is critical for qubit coherence.

Explanation: High relevance as a pure-play quantum annealing hardware company; materials research can enhance annealer efficiency and stability.

Explanation: High relevance as a pure-play neutral atom hardware company; generative models for materials can aid in trap and qubit design.

Explanation: High relevance as a pure-play trapped-ion hardware company; materials advances support improved ion trap fabrication and scalability.

Explanation: Some relevance due to superconducting hardware focus, but limited impact as quantum is only ~2% of revenue.

Explanation: Some relevance due to trapped-ion hardware, but reduced impact as quantum is only ~1% of revenue post-spinoff.

Explanation: Inactive; not part of the quantum universe for scoring.


Heterogeneous Mapping for Analog In-Memory Computing Accelerators: A Unified Workflow

Explanation: AIMC advancements present a competing technology for AI workloads, reducing the urgency for quantum computing in this area, leading to a negative signal for pure-play quantum companies.

Explanation: Similar to IONQ, Rigetti faces negative pressure from AIMC as a competing solution for DNN inference.

Explanation: D-Wave's quantum annealing is less directly aligned with general DNN tasks, but AIMC's efficiency in matrix operations still poses a competitive threat, resulting in a negative signal.

Explanation: As a pure-play quantum company, Quantum Computing Inc. is negatively impacted by the rise of AIMC as an alternative for AI applications.

Explanation: Quantinuum, being a pure-play, is sensitive to competitors like AIMC in the AI computing landscape, leading to a negative signal.

Explanation: IBM's quantum segment is slightly negative due to AIMC competition, but its extensive classical AI capabilities may mitigate this impact.

Explanation: Honeywell's quantum division is slightly negative affected by AIMC advancements, similar to IBM, due to competitive pressures in AI workloads.

Explanation: Inactive, always 0.0 per specification.

Explanation: Inactive, always 0.0 per specification.

Explanation: Inactive, always 0.0 per specification.


Federated Formal Verification: Cross-Backend Citation, Cross-Axis Convergence, and AI-Orchestrated Proof Dispatch for Production Systems

Explanation: Pure-play quantum company; indirect benefit from general formal verification advancements.

Explanation: Partial quantum focus (~2% revenue); formal verification could enhance quantum software reliability.

Explanation: Partial quantum focus (~1% revenue); formal verification may benefit quantum system development.

Explanation: Inactive in quantum computing; always scored 0.0.


Branch-Aware Quantum Constant Propagation for Dynamic Quantum Circuits

Explanation: The paper on Branch-Aware Quantum Constant Propagation improves dynamic circuit optimization for gate-based quantum computing (trapped-ion, superconducting, neutral atom), benefiting IONQ, RGTI, QUBT, QNT, IBM, and HON positively. Quantum annealing (QBTS) is unaffected. Pure-play companies receive higher scores due to full quantum focus; IBM and HON scores are capped by low quantum revenue share. Inactive companies score 0.0.


Night-Window Batching versus Carbon-Aware Scheduling for Clinical AI GPU Workloads

Explanation: The news is about classical GPU scheduling and does not relate to quantum computing, so no impact.

Explanation: The news is about classical GPU scheduling and does not relate to IBM's quantum division, so no impact.

Explanation: The news is about classical GPU scheduling and does not relate to HON's quantum division, so no impact.

Explanation: Inactive in quantum computing, always 0.0.


D-Wave’s New Gate-Model Roadmap Puts Pin in 2032 For 100 Logical-Qubit System - The Quantum Insider

Explanation: The news about D-Wave's gate-model roadmap is positive for QBTS (direct benefit) and slightly positive for IONQ, QUBT, QNT, and HON (industry validation). It is negative for RGTI and IBM (increased competition). MSFT, GOOGL, and NVDA are unaffected. The signal may decay moderately due to the 2032 timeline.


Is This Quantum Computing Stock a Buy Before the Sector's Next Major Catalyst? - The Motley Fool

Explanation: Positive sector catalyst sentiment; pure-play beneficiary.

Explanation: Sector optimism, but only ~2% quantum revenue; partial impact.

Explanation: Sector optimism, but only ~1% quantum revenue; partial impact.

Explanation: No quantum focus; inactive per definition.


Quantinuum IPO Demand Surges as Honeywell’s Quantum Unit Eyes $13B Valuation - Yahoo Finance

Explanation: Quantinuum (QNT) receives a maximum positive score (+2.0) due to direct mention of surging IPO demand and $13B valuation. Honeywell (HON) benefits as the former parent (+0.3). IBM (IBM) gains a modest positive sentiment (+0.15) from sector optimism. Other pure-plays (IONQ, RGTI, QBTS, QUBT) receive +1.0 each for general bullish sentiment. Inactive companies (MSFT, GOOGL, NVDA) score 0.0. Novelty is high due to significant IPO event; decay speed is moderate (1-2 weeks).


Quantinuum Upsizes IPO. The Year’s Biggest Quantum Offering Is Getting Even Bigger. - Barron's

Explanation: No direct impact; news specific to Quantinuum, and IONQ's trapped-ion technology not mentioned.

Explanation: No direct impact; news specific to Quantinuum, and Rigetti's superconducting approach not affected.

Explanation: No direct impact; news specific to Quantinuum, and D-Wave's quantum annealing technology not mentioned.

Explanation: No direct impact; news specific to Quantinuum, and Quantum Computing Inc.'s neutral atom approach not affected.

Explanation: Direct positive impact from upscaling IPO, indicating strong investor demand and growth potential for this pure-play trapped-ion company.

Explanation: Slight negative due to increased competition from Quantinuum in IBM's quantum segment, but impact is minimal given quantum revenue is only ~2% of IBM's business.

Explanation: No significant impact post-Quantinuum spinoff; quantum computing is a small part (~1%) of Honeywell's business.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.


Quantum Computing Stocks: Quantinuum Boosts IPO Offering - Investor's Business Daily

Explanation: Competitor with same trapped-ion technology; positive news for Quantinuum may signal increased competition, negatively affecting IONQ.

Explanation: No direct impact; different superconducting technology, so neutral.

Explanation: No direct impact; quantum annealing technology, different from trapped-ion, so neutral.

Explanation: No direct impact; neutral atom technology, different from trapped-ion, so neutral.

Explanation: Directly mentioned; boosting IPO is a positive event indicating strong market confidence and growth potential.

Explanation: Sector-wide positive sentiment; small uplift due to ~2% quantum revenue exposure.

Explanation: Competitor with trapped-ion technology, but only ~1% quantum revenue; negative impact from competition, but smaller magnitude.

Explanation: Inactive; no quantum revenue focus, always 0.0.


Why The Quantinuum IPO Could Disappoint Investors Despite The Quantum Hype - Forbes

Explanation: Indirect negative sentiment from quantum sector spillover; trapped-ion similarity to QNT amplifies impact. Novelty medium, decay medium.

Explanation: Indirect negative sentiment; superconducting competitor affected by broader industry concerns. Novelty medium, decay medium.

Explanation: Indirect negative sentiment; quantum annealing company impacted by sector-wide perception. Novelty medium, decay medium.

Explanation: Indirect negative sentiment; neutral atom quantum company affected by industry risks. Novelty medium, decay medium.

Explanation: Direct negative sentiment; IPO disappointment risks significantly impact valuation. Novelty medium, decay medium.

Explanation: Minimal impact; small quantum revenue segment, news specific to pure-play competitor. Novelty medium, decay medium.

Explanation: Slight negative; parent of Quantinuum spin-off, but quantum revenue is minor. Novelty medium, decay medium.

Explanation: Inactive; no quantum focus, score fixed at 0.0.


Honeywell's Quantinuum eyes $14.3 billion valuation in upsized US IPO - Reuters

Explanation: Positive as trapped-ion peer benefiting from sector validation.

Explanation: Positive as superconducting peer, general sector uplift.

Explanation: Positive quantum annealing player, sector boost from IPO news.

Explanation: Positive neutral atom company, benefits from increased industry optimism.

Explanation: Direct positive impact from high-valuation IPO as pure-play.

Explanation: Minor positive sentiment as small quantum player; sector excitement.

Explanation: Positive as parent company spinning off high-valued quantum entity.

Explanation: Inactive, no quantum relevance.

Explanation: Inactive, no quantum relevance.

Explanation: Inactive, no quantum relevance.


Can Generalist Agents Automate Data Curation?

Explanation: Pure-play quantum hardware company; news on classical AI data curation is not directly relevant.

Explanation: News on AI data curation automation is highly relevant to IBM's AI business (e.g., IBM Watson), which may indirectly benefit their quantum initiatives. Score is maximally positive within the allowed range.

Explanation: Low quantum revenue and no significant AI focus; news has minimal relevance.

Explanation: Inactive company; always scored 0.0.

Explanation: Inactive company; always scored 0.0.

Explanation: Inactive company; always scored 0.0.


Q-FE: A Quantum-Native 6G Far-Edge Architecture Securing Industrial IoT Digital Twins via CSIDH-PQC and Asynchronous Federated Learning

Explanation: Positive quantum-native architecture news benefits pure-play quantum companies maximally.

Explanation: Positive for IBM due to quantum computing and related fields (6G, AI), but limited by small quantum revenue share.

Explanation: Positive for Honeywell's quantum division, though quantum revenue is a small portion of overall business.

Explanation: Inactive, always 0.0 (not part of quantum universe).


ACRONYM: Accelerated Approximate Nearest Neighbor Search in Memory for Dynamic Vector Databases

Explanation: Improved classical vector search reduces quantum relevance for AI applications, negatively impacting pure-play quantum companies.

Explanation: Benefits from advancements in classical vector search, strengthening its AI capabilities.

Explanation: Slight negative impact due to small quantum exposure; classical improvements may reduce quantum demand.

Explanation: Inactive in quantum computing, always 0.0.


Glass Box at Orbit: A Constitutional AI Verification Framework for Trustworthy Autonomous CubeSat Intelligence

Explanation: Indirectly positive; advances AI and verification techniques applicable to quantum computing.

Explanation: Indirectly positive; same as IONQ.

Explanation: Indirectly positive; same as IONQ.

Explanation: Indirectly positive; same as IONQ.

Explanation: Indirectly positive; same as IONQ.

Explanation: Slightly more relevant due to IBM's AI, quantum, and space involvement; positive impact.

Explanation: Slightly more relevant due to Honeywell's quantum and aerospace businesses; positive impact.

Explanation: Inactive in quantum; always 0.0.

Explanation: Inactive in quantum; always 0.0.

Explanation: Inactive in quantum; always 0.0.


Continuous-Variable Quantum State Tomography Enabled by Quantum Mirrors

Explanation: Relevant as a trapped-ion company, which can provide atomic control systems for the proposed tomography protocol.

Explanation: Not directly relevant; Rigetti focuses on superconducting qubits, which are discrete-variable and not aligned with continuous-variable photonic tomography.

Explanation: Not relevant; D-Wave's quantum annealing is discrete-variable and unrelated to photonic state tomography.

Explanation: Relevant as a neutral atom company, which can provide atomic control systems for the tomography protocol.

Explanation: Relevant as a trapped-ion company, which can provide atomic control systems for the tomography protocol.

Explanation: Highly relevant due to IBM's involvement in photonic quantum computing and continuous-variable quantum initiatives, which directly benefit from improved tomography methods.

Explanation: Relevant as a trapped-ion company, which can provide atomic control systems, and has potential applications in quantum sensing.

Explanation: Inactive; no quantum computing focus, always scored 0.0.


D-Wave Seeks to Leverage IBM’s Quantum Foundry. $100 Million in Federal Funding Will Help. - Barron's

Explanation: Not mentioned in the news; no direct impact.

Explanation: Not mentioned; no impact.

Explanation: Directly benefits from $100M federal funding and leveraging IBM's Quantum Foundry; major positive for pure-play.

Explanation: Not mentioned; no impact.

Explanation: Not mentioned; no impact.

Explanation: Quantum Foundry leveraged, enhancing ecosystem; positive but capped due to small quantum revenue share.

Explanation: Not mentioned; no impact.

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: The news highlights D-Wave's receipt of $100 million in federal funding to leverage IBM's Quantum Foundry. This is a significant positive for QBTS (D-Wave) as a pure-play. IBM benefits indirectly through the validation of their Quantum Foundry, but the impact is limited due to quantum being a small part of their business. Other companies are not affected. Novelty is high due to the scale of funding and partnership. Decay speed may be moderate as funding deployment is gradual, but market reaction could fade quickly.


Quantinuum Expands IPO as Valuation Climbs Above $14 Billion - The Quantum Insider

Explanation: Moderate positive spillover from sector sentiment

Explanation: Direct positive impact from IPO expansion and high valuation

Explanation: Minor positive sentiment from sector boost and indirect ties

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


IBM to invest $10 billion in quantum computing | IBM Quantum Computing Blog - IBM

Explanation: IBM's $10 billion investment is a strong positive for IBM (score: +0.15, max for non-pure-play). RGTI (same superconducting tech) faces direct competition, hence -1.5. IONQ and QNT (trapped-ion) experience competitive pressure, scoring -0.5 each. QBTS (annealing) and QUBT (neutral atom) are unaffected (0.0). HON benefits slightly from sector growth (+0.1). Inactive companies (MSFT, GOOGL, NVDA) score 0.0.


IBM Commits More Than $10 Billion to Quantum Computing, Funding Its Roadmap from Today's Leading Systems to the World's First Fault-Tolerant Quantum Computers - IBM Newsroom

Explanation: Negative due to competitive pressure from IBM's large-scale investment; trapped-ion focus but overall industry threat.

Explanation: Strong negative as a direct competitor in superconducting quantum computing; IBM's investment intensifies pressure.

Explanation: Slightly negative; quantum annealing technology reduces direct competition, but overall market pressure applies.

Explanation: Negative due to competitive pressures; neutral atom technology not IBM's focus, but IBM's scale threatens all pure-plays.

Explanation: Negative; as a trapped-ion player, IBM's investment may reduce market share opportunities despite different tech.

Explanation: Positive due to significant commitment to quantum computing, reinforcing leadership with moderate novelty and slow decay.

Explanation: Slightly negative; IBM's investment intensifies competition, affecting Honeywell's quantum position.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Introducing Majorana 2 - Microsoft Source

Explanation: Microsoft's Majorana 2 advancement is a novel topological quantum computing development. As MSFT is inactive, it scores 0.0. The news creates competitive pressure for active companies using different technologies (trapped-ion, superconducting, annealing, neutral atom), leading to negative scores: -1.0 for pure-plays (within [-2.0, +2.0]), -0.15 for IBM (within [-0.15, +0.15]), and -0.3 for Honeywell (within [-0.3, +0.3]). Inactive firms (GOOGL, NVDA) score 0.0. The slow decay speed of this research news justifies the moderate negative impact.


Microsoft Reports Advances in Majorana 2 Following Debate Over Last Year's Topological Claims - The Quantum Insider

Explanation: Positive sector sentiment from Microsoft's advances, but low novelty and high decay speed limit impact. Trapped-ion technology unaffected.

Explanation: Sector positive, but superconducting competitor Microsoft gains; net small positive with low novelty and high decay.

Explanation: Quantum annealing less affected, but benefits from general positive sentiment. Low novelty, high decay.

Explanation: Neutral atom pure-play benefits from sector optimism. Impact moderated by low novelty and high decay.

Explanation: Trapped-ion pure-play, positive from sector news, but low impact due to novelty and decay factors.

Explanation: Microsoft's advances may pressure IBM's quantum business, but with low novelty and high decay, net neutral. IBM not pure-play.

Explanation: Positive sentiment benefits HON's quantum efforts, but small due to low quantum revenue share. Low novelty and high decay.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Microsoft’s quantum chip got an upgrade. Critics are still skeptical - Science News

Explanation: Microsoft's quantum chip upgrade is positive for the company but it is inactive (MSFT = 0.0). The news increases competition for superconducting qubit companies IBM (negative score) and Rigetti (negative score). Skepticism about the upgrade makes alternative architectures—trapped-ion (IONQ, HON, QNT), quantum annealing (QBTS), and neutral atom (QUBT)—more attractive, leading to positive scores. IBM and HON have smaller score ranges due to lower quantum revenue share. Novelty is low; decay speed is fast due to skepticism and incremental impact.


Quantinuum: Is This IPO Poised To Make A Quantum Leap? - Seeking Alpha

Explanation: Competitor in trapped-ion technology; negative impact from positive news on rival Quantinuum. Novelty high, decay moderate.

Explanation: Sector-wide positive sentiment from quantum IPO news. Novelty high, decay moderate.

Explanation: Direct positive news about IPO potential; high impact. High novelty, rapid decay.

Explanation: Minor positive spillover from quantum sector, but small quantum revenue share. Novelty high, decay moderate.

Explanation: Competitor in trapped-ion technology with low quantum revenue exposure; negative impact. Novelty high, decay moderate.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.


A universal and efficient hybrid digital-analog fermionic quantum simulator

Explanation: Trapped-ion pure-play. The research on hybrid digital-analog fermionic simulation is indirectly relevant as it uses variational algorithms applicable to trapped-ion systems, but the primary focus is on neutral atoms, so moderate positive.

Explanation: Superconducting pure-play. Variational algorithms are core to their technology, but the research is centered on fermionic ultracold atoms, so moderate positive.

Explanation: Quantum annealing. The research involves digital-analog hybrid fermionic simulation, which is not aligned with quantum annealing paradigms, so no relevance.

Explanation: Neutral atom pure-play. The research directly advances fermionic ultracold atom platforms, making it highly relevant and impactful, hence maximum positive score.

Explanation: Trapped-ion pure-play. Similar to IONQ, variational algorithms provide indirect relevance, but the primary platform focus is neutral atoms, so moderate positive.

Explanation: Superconducting, ~2% quantum revenue. As a leader in quantum computing, they may benefit from algorithmic advances, but the research is not specific to their platform, so capped at maximum positive for their category.

Explanation: Trapped-ion, ~1% quantum revenue. Their quantum system may leverage variational algorithms, but the research is focused on neutral atoms, so small positive within their range.

Explanation: Inactive, always 0.0 per specification.

Explanation: Inactive, always 0.0 per specification.

Explanation: Inactive, always 0.0 per specification.


Complexity of the Laughlin wave function from the Dyson-orbital perspective

Explanation: The research on Dyson orbitals and the Laughlin wave function advances the understanding of strongly correlated systems, which is highly relevant for quantum simulation. Pure-play companies with trapped-ion (IONQ, QNT), superconducting (RGTI), and neutral atom (QUBT) technologies receive high scores due to their direct applicability. Quantum annealing (QBTS) is less relevant. IBM and Honeywell benefit from theoretical progress but have lower scores due to small quantum revenue shares. Inactive companies score 0.0.

Explanation: High relevance; trapped-ion technology is ideal for simulating many-body quantum systems like the Laughlin wave function.

Explanation: High relevance; superconducting quantum hardware is well-suited for quantum simulation research.

Explanation: Lower relevance; quantum annealing focuses on optimization, not wave function simulation of correlated systems.

Explanation: High relevance; neutral atom technology enables precise simulation of complex quantum states.

Explanation: High relevance; trapped-ion platform is effective for quantum simulation tasks.

Explanation: Moderate benefit from theoretical insights, but capped at maximum positive due to low quantum revenue share (~2%).

Explanation: Benefit from simulation advancements, but capped at maximum positive due to small quantum revenue share (~1%).

Explanation: Inactive in quantum computing per definition.


Realistic quantum device data synthesized by consumer AI and how to identify it

Explanation: The article highlights AI's ability to synthesize quantum data, which threatens the credibility of quantum hardware. Pure-play companies (100% quantum revenue) are most affected due to full reliance on quantum tech, hence the -1.5 score. IBM and Honeywell, with minor quantum divisions, receive milder negative scores (-0.15 and -0.2, respectively). Inactive companies are unaffected (0.0).


Unlocking Exponential and Unbounded Robust Gains in Shannon Capacity of Classical Multiple Access Channels with Causal CSIT via Quantum Entanglement Assistance

Explanation: Pure-play trapped-ion quantum company; the entanglement breakthrough directly enhances its technology's value.

Explanation: Pure-play superconducting quantum company; benefits from the emphasis on entanglement in classical communication.

Explanation: Pure-play quantum annealing company; general positive impact from quantum entanglement advancements.

Explanation: Pure-play neutral atom quantum company; the news validates quantum entanglement's role, boosting its prospects.

Explanation: Pure-play trapped-ion quantum company; similar positive impact as other pure-plays.

Explanation: Quantum entanglement gains support IBM's quantum research, but impact is modest due to ~2% quantum revenue share.

Explanation: Honeywell's quantum division (trapped-ion) benefits, but with only ~1% quantum revenue, the score is capped.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.


Multi-Qubit Dyadic Phase Fixing for Fault-Tolerant Quantum Compilation

Explanation: Pure-play trapped-ion company; benefits significantly from improved compilation reducing T-count, enhancing fault-tolerant potential.

Explanation: Pure-play superconducting company; similar gains from DPF for lower error rates in quantum compilation.

Explanation: Quantum annealing company; DPF targets gate-based circuits, not applicable to annealing, so no impact.

Explanation: Pure-play neutral atom company; benefits from general compilation improvements for gate-based quantum computing.

Explanation: Pure-play trapped-ion company; similar advantages to IONQ from reduced T-count in fault-tolerant contexts.

Explanation: Superconducting company with ~2% quantum revenue; positive for quantum software (e.g., Qiskit adoption), but limited by small quantum focus.

Explanation: Trapped-ion company with ~1% quantum revenue post-spinoff; minor benefit from field advancement, but low quantum focus dampens impact.

Explanation: No quantum focus; always 0.0 per specification.


Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines

Expecting property name enclosed in double quotes: line 1 column 2 (char 1)


Setting angles in quantum approximate optimization at utility-scale

Explanation: Trapped-ion hardware company; benefits from QAOA advancements for gate-based quantum optimization.

Explanation: Superconducting hardware company; similarly benefits from improved QAOA efficiency.

Explanation: Quantum annealing company; QAOA is gate-based and not directly applicable to annealing.

Explanation: Neutral atom hardware company; gate-based and relevant for QAOA optimization.

Explanation: Trapped-ion hardware company; gate-based and benefits from QAOA improvements.

Explanation: Superconducting hardware with strong classical resources; aligns with QAOA's classical optimization and hardware validation aspects.

Explanation: Trapped-ion hardware company; capable of running QAOA but on a smaller scale.

Explanation: Inactive in quantum scoring; always 0.0.

Explanation: The research enhances QAOA for gate-based quantum optimization at scale, benefiting hardware companies (especially pure-play gate-based) and those with strong classical-software integration (IBM, HON). Annealing-focused companies (QBTS) are less relevant.


Krylov Complexity: Flat bands and Carroll breaking deformations

Explanation: High relevance: Research on flat band systems and fermionic ladders directly applies to trapped-ion technology, which IONQ specializes in.

Explanation: Low relevance: Superconducting qubits can simulate the models, but the research is not specific to this architecture.

Explanation: Low relevance: Quantum annealing (D-Wave's focus) is not directly addressed; the research is more gate-based.

Explanation: High relevance: Neutral atom technology is well-suited for flat band and fermionic ladder models discussed.

Explanation: High relevance: Trapped-ion technology aligns with the research on flat bands and fermionic ladders.

Explanation: Low relevance: Superconducting qubits with only ~2% quantum revenue; research is general but not specific to IBM.

Explanation: High relevance to trapped-ion technology, but capped at 0.3 due to ~1% quantum revenue share.

Explanation: Inactive: Always 0.0 per specification.

Explanation: Inactive: Always 0.0 per specification.

Explanation: Inactive: Always 0.0 per specification.


Continuous-variable ADAPT-VQE for bosonic lattice models

Explanation: Positive impact as trapped-ion systems can leverage this VQE improvement for quantum simulation tasks.

Explanation: Strong positive impact; superconducting qubits are well-suited for bosonic lattice models, enhancing simulation capabilities.

Explanation: Neutral impact; quantum annealing is not directly related to VQE-based simulation.

Explanation: Positive impact; neutral atom platforms can benefit from efficient VQE methods for quantum simulation.

Explanation: Positive impact; as a pure-play trapped-ion company, this VQE advancement supports their quantum computing applications.

Explanation: Slightly positive impact; software expertise (e.g., Qiskit) can integrate this method, benefiting quantum business.

Explanation: Slightly positive impact; trapped-ion technology can utilize this for simulation, but reduced quantum focus limits effect.

Explanation: Inactive; no quantum revenue.

Explanation: Inactive; no quantum revenue.

Explanation: Inactive; no quantum revenue; GPU mention in paper is for classical simulation only.


Isospectrality and Operator Complexity

Explanation: Trapped-ion tech aligns with fermion chain simulation and operator dynamics.

Explanation: Superconducting qubits can simulate fermions but less directly relevant.

Explanation: Quadratic model directly supports D-Wave's annealing focus.

Explanation: Neutral atom platform suitable for fermion simulation.

Explanation: Trapped-ion tech relevant for fermion chains and operator complexity.

Explanation: Incremental quantum research slightly benefits IBM's efforts despite small quantum revenue.

Explanation: Reduced quantum focus post-Quantinuum spinoff limits impact.

Explanation: Inactive in quantum computing.

Explanation: Inactive in quantum computing.

Explanation: Inactive in quantum computing.


Breakdown of Thermalization from Real-Time Dynamics in the Two-Dimensional Hubbard Model

Explanation: The classical simulation of quantum phenomena reduces near-term demand for quantum hardware, negatively impacting pure-play trapped-ion company IONQ.

Explanation: As a pure-play superconducting quantum company, RGTI is negatively affected by advancements in classical simulation diminishing quantum advantage.

Explanation: D-Wave's quantum annealing is irrelevant to real-time dynamics, making this research particularly threatening and warranting a more negative score.

Explanation: As a pure-play neutral atom company, QUBT faces negative impact from classical simulation competing with quantum hardware applications.

Explanation: Quantinuum, a pure-play trapped-ion company, is negatively affected by the reduced quantum advantage perception from classical methods.

Explanation: IBM's diversified portfolio mitigates the negative impact, but its quantum segment is slightly affected due to ~2% quantum revenue.

Explanation: Honeywell's trapped-ion focus and small quantum revenue (~1%) make it more impacted than IBM, but less than pure-plays.

Explanation: Inactive company, always scores 0.0.

Explanation: Inactive company, always scores 0.0.

Explanation: Inactive company, always scores 0.0.


Expressibility, Noise, and Error Mitigation in VQE Ansatz Selection

Explanation: The research highlights challenges in noise and error mitigation for gate-based quantum computing, negatively affecting pure-play companies like IONQ focused on trapped-ion technology.

Explanation: Findings on VQE ansatz selection difficulties for superconducting systems lead to negative sentiment for pure-play companies such as Rigetti.

Explanation: Research is specific to gate-based VQE, not directly applicable to D-Wave's quantum annealing; slight negative sentiment due to overall quantum sector challenges.

Explanation: As a pure-play neutral atom gate-based company, the research's emphasis on VQE challenges results in negative sentiment.

Explanation: Similar to IONQ, as a trapped-ion gate-based pure-play, negative sentiment from the research findings on noise and error mitigation.

Explanation: Relevant to IBM's superconducting quantum efforts, but the ~2% quantum revenue dilutes impact; negative sentiment from research challenges.

Explanation: Honeywell's trapped-ion quantum business is relevant, but ~1% quantum revenue reduces impact; research difficulties lead to modest negative sentiment.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


The Double Well Done Doubly-Well

Explanation: The paper on the double-well potential and resurgence theory is highly relevant to flux qubits used by D-Wave (QBTS) and IBM. QBTS, as a pure-play with direct technology alignment, scores +2.0. IBM, with partial flux qubit involvement, scores +0.15. Other pure-play companies (IONQ, RGTI, QUBT, QNT) receive +0.5 for general quantum research benefits. HON scores +0.2 for its quantum interests. Inactive companies (MSFT, GOOGL, NVDA) score 0.0.


Floquet-Engineered Parity Anomaly Staircase in a Cold Atom Dirac Lattice

Explanation: The research is specific to cold atom quantum simulation, directly benefiting QUBT (neutral atom) with a high positive score. IBM gains a modest positive due to general quantum research interest. Other companies have no significant relevance, resulting in neutral or inactive scores.


Experimentally probing the Quantum Physics in the Inverted Harmonic Oscillator

Explanation: QUBT receives +2.0 for direct relevance to neutral atom technology. IONQ and QNT get +1.0 for trapped-ion atomic physics relevance. HON scores +0.3 (capped) for similar reasons but lower revenue share. RGTI, IBM, and QBTS receive small positives (+0.2, +0.1, +0.2) for sector advancements. MSFT/GOOGL/NVDA are inactive (0.0).


Programmable spectral symmetries in an anisotropic quantum Rabi simulator

Explanation: Not relevant, as the research is specific to superconducting technology, while IONQ uses trapped-ion.

Explanation: Highly relevant, as Rigetti focuses on superconducting quantum processors, and this research demonstrates key advancements in programmability and control for such systems.

Explanation: Not directly relevant, as D-Wave's quantum annealing technology differs from the gate-based approach used in this research.

Explanation: Not relevant, as Quantinuum is trapped-ion based.

Explanation: Slightly relevant, as IBM works on superconducting quantum computing, but with a small quantum revenue share.

Explanation: Not relevant, as Honeywell is trapped-ion based with minimal quantum revenue focus.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


High-fidelity neutral atom gates leveraging low-rank Hessian optimization

Explanation: Trapped-ion technology; benefits from broadly applicable calibration method for atomic qubits.

Explanation: Superconducting technology; broadly applicable method provides some benefit, but less direct than atomic qubits.

Explanation: Quantum annealing; not relevant as the method is for gate-based quantum computing.

Explanation: Direct relevance as the pure-play neutral atom company; the paper shows a key advancement in neutral atom gate technology.

Explanation: Trapped-ion technology; benefits from broadly applicable calibration strategy.

Explanation: Superconducting technology with minimal quantum revenue; minor positive impact from general advancement.

Explanation: Trapped-ion technology with small quantum revenue; positive impact from general method, but limited by quantum business size.

Explanation: Inactive company, no quantum revenue.

Explanation: Inactive company, no quantum revenue.

Explanation: Inactive company, no quantum revenue.


Measuring Entanglement in Qubit System

Explanation: High relevance; trapped-ion technology directly aligns with Stern-Gerlach interferometer example.

Explanation: Some relevance; entanglement measurement is generally useful but not specific to superconducting qubits.

Explanation: Some relevance; quantum annealing benefits from entanglement verification techniques.

Explanation: High relevance; neutral atom systems match the Stern-Gerlach interferometer example.

Explanation: High relevance; trapped-ion technology directly applies to the atomic interferometer example.

Explanation: Low relevance; entanglement measurement could be adopted but not specific to superconducting technology.

Explanation: High relevance; trapped-ion focus matches the Stern-Gerlach example, but lower score due to narrower range.

Explanation: Inactive; no quantum revenue focus.

Explanation: Inactive; no quantum revenue focus.

Explanation: Inactive; no quantum revenue focus.


Generalized Bicycle Codes as Cyclic Submodules and their Automorphism Structure

Explanation: The research on Generalized Bicycle Codes and their automorphisms focuses on advancing fault-tolerant gate-based quantum computing, which is highly relevant to gate-based hardware companies. Pure-play gate-based firms like IONQ (trapped-ion), RGTI (superconducting), QUBT (neutral atom), and QNT (trapped-ion) receive high positive scores (+1.5) as these developments directly enhance their quantum systems' error correction and scalability. IBM benefits positively (+0.15) due to its strong quantum software focus, particularly Qiskit, which leverages such codes for algorithmic improvements, despite its small quantum revenue share. Honeywell (HON) scores +0.2, reflecting its trapped-ion technology relevance but smaller quantum business scale. D-Wave (QBTS), being quantum annealing-based, scores -1.0 as the research is not directly applicable to annealing systems. Inactive companies (MSFT, GOOGL, NVDA) score 0.0.


Crossover from Rabi oscillations to adiabatic population switching in the Faraday optical control of quantum dot spins

Explanation: The paper's emphasis on optical control techniques (e.g., stimulated Raman transitions) is directly applicable to IONQ's trapped-ion qubits, representing a significant positive development for their technology.

Explanation: RGTI's superconducting qubits use microwave control, not optical methods, making the paper's content on quantum dot spins and Faraday geometry irrelevant.

Explanation: QBTS (D-Wave) focuses on quantum annealing with flux qubits, which do not involve optical control or the described spin dynamics, resulting in no relevance.

Explanation: QUBT's neutral atom qubits rely on optical control, so the paper's findings on Raman transitions and spin dynamics are highly relevant and positive for their approach.

Explanation: As a trapped-ion company like IONQ, QNT benefits directly from advances in optical control methods described in the paper.

Explanation: IBM's superconducting qubits are not aligned with optical control, but their spin qubit research (e.g., in silicon) could gain from the paper's insights on spin dynamics, warranting a low positive score due to their small quantum revenue share.

Explanation: Honeywell's trapped-ion technology uses optical control, making the paper's techniques highly relevant; the score is capped at +0.3 due to their ~1% quantum revenue.

Explanation: MSFT has no quantum revenue and is inactive in the quantum computing universe.

Explanation: GOOGL has no quantum revenue and is inactive in the quantum computing universe.

Explanation: NVDA has no quantum revenue and is inactive in the quantum computing universe.


Measurement-induced state transitions in multi-qubit transmon processors

Explanation: Trapped-ion technology, not related to transmon qubit research.

Explanation: Directly relevant to Rigetti's transmon-based processors; research on MIST can improve readout fidelity.

Explanation: D-Wave's quantum annealing technology differs from transmon qubits.

Explanation: Neutral atom technology, not applicable to transmon-specific issues.

Explanation: Trapped-ion technology, not relevant.

Explanation: Relevant to IBM's transmon-based quantum systems; addresses readout challenges.

Explanation: Trapped-ion technology, unaffected by transmon MIST effects.

Explanation: Not a quantum hardware company.

Explanation: Not a quantum hardware company.

Explanation: Focused on AI, not quantum computing.


A thorium-229 optical nuclear clock with feedback loop

Explanation: The thorium-229 nuclear clock breakthrough leverages trapped-ion technology, directly benefiting IONQ and QNT (max +2.0 each) and HON (+0.3). QUBT gains moderate relevance (+1.0) from shared optical methods. Other companies have minimal connection (0.0).


An Entanglement Measure from Quantum Optimal Transport

Explanation: Incremental entanglement research is relevant to pure-play quantum companies like IONQ (trapped-ion).

Explanation: Relevant to Rigetti (superconducting), a pure-play quantum company.

Explanation: D-Wave's quantum annealing is less directly related to bipartite entanglement measures.

Explanation: Neutral atom pure-play Quantum Computing Inc. benefits from general entanglement advancements.

Explanation: Quantinuum (trapped-ion) as a pure-play gains from core quantum theory progress.

Explanation: Incremental research has minor impact due to IBM's low ~2% quantum revenue share.

Explanation: Honeywell's minimal quantum revenue post-spinoff limits impact, but research is relevant historically.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.

Explanation: No quantum computing focus; always 0.0.


Convergence rates of Sum-of-Hermitian-Squares Hierarchies for the Pauli algebra

Explanation: Advancement in quantum optimization theory benefits trapped-ion quantum computing.

Explanation: Positive for superconducting quantum computing research and algorithm development.

Explanation: Less direct relevance to quantum annealing, but contributes to quantum optimization field.

Explanation: Benefits neutral atom quantum computing through improved optimization techniques.

Explanation: Relevant to trapped-ion quantum computing and ground state energy applications.

Explanation: Positive for IBM's quantum algorithm research, though impact is small due to low quantum revenue share.

Explanation: Slightly positive impact on Honeywell's quantum efforts, with low revenue exposure.

Explanation: Inactive, no quantum computing focus.

Explanation: Inactive, no direct quantum computing business.

Explanation: Inactive, no quantum computing involvement.


Tunable Resonator Integrated Magnetometry

Explanation: Not related; IONQ focuses on trapped-ion technology, while the news is about superconducting-based magnetometry.

Explanation: Directly related; Rigetti uses superconducting qubits, and this innovation advances superconducting quantum sensing, which is core to their technology.

Explanation: Relevant; D-Wave uses superconducting qubits for annealing, and this magnetometry application shares underlying technology, though not directly core to their annealing focus.

Explanation: Not related; Quantum Computing Inc. focuses on neutral atom technology, unrelated to superconducting magnetometry.

Explanation: Not related; Quantinuum uses trapped-ion technology, while the news is about superconducting.

Explanation: Slightly related; IBM has a superconducting quantum business, but quantum is a small part of their revenue, limiting impact.

Explanation: Not related; Honeywell focuses on trapped-ion quantum technology, not superconducting.

Explanation: Inactive; always 0.0 per definition.

Explanation: Inactive; always 0.0 per definition.

Explanation: Inactive; always 0.0 per definition.


Photoelectron spectroscopy with a resonant dichromatic field: Role of geometric phase

Explanation: High relevance due to trapped-ion technology using laser control, directly aligning with geometric phase techniques in the research.

Explanation: Superconducting qubits can benefit from coherent control principles like geometric phase manipulation and Autler-Townes splitting, though microwave-based.

Explanation: Quantum annealing involves different dynamics; Rabi dynamics and two-level system control are less directly applicable.

Explanation: Neutral atom qubits use laser control, making geometric phase techniques highly relevant for qubit manipulation.

Explanation: Trapped-ion technology with laser control directly benefits from geometric phase control methods described.

Explanation: Superconducting qubits can apply control principles, but limited by ~2% quantum revenue share.

Explanation: Trapped-ion with laser control is highly relevant, but ~1% quantum revenue constrains the score.

Explanation: Inactive; no quantum revenue.

Explanation: Inactive; no quantum revenue.

Explanation: Inactive; no quantum revenue.


Comment on "Possibility of superradiant neutrino emission by atomic condensate" by M. Blasone, L. Gastaldo and F. Romeo, Phys. Rev. D 113, 053010 (2026)

Explanation: Trapped-ion technology not directly related to atomic condensates or neutrino emission.

Explanation: Superconducting-based; no relevance to atomic condensate research.

Explanation: Quantum annealing approach unrelated to atomic condensates or neutrino emission.

Explanation: Neutral atom quantum computing directly involves atomic condensates; the negative finding of impossible superradiant neutrino emission may reduce potential quantum simulation applications or hype.

Explanation: Trapped-ion technology; not directly relevant to neutral atom condensates.

Explanation: Superconducting-based with minor quantum revenue; no specific impact from this research.

Explanation: Trapped-ion quantum business with low quantum revenue; minimal relevance to atomic condensate topic.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.


Quantification of Entanglement in Three-Qubit Systems

Explanation: High relevance due to trapped-ion technology and focus on quantum hardware where entanglement is critical.

Explanation: High relevance for superconducting qubits and entanglement research in quantum computing.

Explanation: Lower relevance; quantum annealing focuses on optimization, not pure state entanglement quantification.

Explanation: High relevance for neutral atom quantum computing, which relies on entanglement.

Explanation: High relevance as a trapped-ion pure-play with entanglement capabilities.

Explanation: Minor positive impact; small quantum revenue share limits influence.

Explanation: Positive impact with trapped-ion background, but small quantum revenue constrains score.

Explanation: Not a quantum computing company; no relevance.


QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation

Explanation: Highly relevant; trapped-ion hardware supports gate-based quantum applications in AI, validated by the research.

Explanation: Highly relevant; superconducting hardware is applicable to the quantum methods described, boosting pure-play value.

Explanation: Less relevant; quantum annealing differs from gate-based focus, but general quantum advancement has mild positive impact.

Explanation: Highly relevant; neutral atom hardware enables gate-based quantum computing for AI tasks like predicate learning.

Explanation: Highly relevant; trapped-ion hardware aligns with the quantum techniques evaluated, supporting pure-play growth.

Explanation: Positive impact; quantum division benefits from AI advancements, but capped due to ~2% quantum revenue share.

Explanation: Positive impact; trapped-ion hardware is applicable, with upside for quantum unit post-Quantinuum spinoff, capped at max.

Explanation: Inactive; no quantum focus, always 0.0.

Explanation: Inactive; no quantum focus, always 0.0.

Explanation: Inactive; no quantum focus, always 0.0.


Digital Quantum Reservoir Computing for ATM Time Series Prediction

Explanation: Trapped-ion pure-play; relevant as digital QRC could apply to trapped-ion, but demonstration was on superconducting hardware, so moderate positive.

Explanation: Superconducting pure-play; high relevance due to real experiment on superconducting processor (IQM Spark), showing practical progress.

Explanation: Quantum annealing; not relevant as paper focuses on digital quantum computing, not annealing.

Explanation: Neutral atom pure-play; relevant as neutral atom can support digital QRC, but not directly demonstrated.

Explanation: Trapped-ion pure-play; similar relevance to IONQ for potential application.

Explanation: Superconducting with ~2% quantum revenue; relevant due to superconducting demonstration, but smaller impact from diversified business.

Explanation: Trapped-ion with ~1% quantum revenue; relevant but lower impact due to smaller quantum focus post-spinoff.

Explanation: Inactive; always 0.0 per definition.

Explanation: Inactive; always 0.0 per definition.

Explanation: Inactive; always 0.0 per definition.


Hybrid quantum-classical physics-informed neural networks for solving nonlinear PDEs: when and where hybridization is effective?

Explanation: The paper's focus on hybrid quantum-classical methods with PQC enhances gate-based quantum companies (trapped-ion: IONQ, QNT; superconducting: RGTI; neutral atom: QUBT) with high scores. IBM gains from hybrid strengths but is capped. QBTS (annealing) is less relevant. HON has trapped-ion but low quantum focus. Inactive firms score zero.


Electron-Ion Path Integral Monte Carlo with Hard Core

Explanation: Direct relevance to trapped-ion technology mentioned in the abstract

Explanation: Superconducting technology not related to ion-based research

Explanation: Quantum annealing not applicable to plasma simulation

Explanation: Neutral atom technology unrelated to the study

Explanation: Direct relevance to trapped-ion technology as per abstract

Explanation: Classical simulation method; minimal impact on quantum hardware focus

Explanation: Trapped-ion technology but lower revenue focus restricts score

Explanation: Inactive company, always 0.0

Explanation: Inactive company, always 0.0

Explanation: Inactive company, always 0.0


Circuit-Level Noise Estimation via Shuttling in Plaquette Circuits

Explanation: Directly involved in hardware compilation for ion-trap systems.

Explanation: Superconducting pure-play; general relevance to QEC advancements.

Explanation: Quantum annealing not relevant to gate-based QEC methods.

Explanation: Neutral atom pure-play; not mentioned in the research.

Explanation: Trapped-ion pure-play; similar to IONQ but not directly involved.

Explanation: Directly used in experiments on superconducting hardware.

Explanation: Trapped-ion player; not mentioned and post-spinoff.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Extremely slow scaling of minimal Hamming distance in quantum sampling data

Explanation: Positive impact on trapped-ion systems; enhances characterization of pure-play quantum hardware.

Explanation: Positive impact on superconducting systems; benefits pure-play quantum revenue model.

Explanation: Positive impact on quantum annealing systems; applicable to D-Wave's hardware.

Explanation: Positive impact; specifically relevant due to mention of cold-atom simulators in the abstract.

Explanation: Positive impact on trapped-ion systems; enhances characterization for pure-play firm.

Explanation: Modest positive impact; benefits quantum research but limited by small quantum revenue portion.

Explanation: Moderate positive impact; applicable to trapped-ion systems, but capped by low quantum revenue share.

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0


Probing PbTe-Pb nanowire devices with radio-frequency reflectometry

Explanation: No direct relevance; trapped-ion technology uses optical readout, not rf reflectometry.

Explanation: Positive; rf techniques are core to superconducting qubits, and this research may enhance measurement capabilities.

Explanation: Positive; quantum annealing systems use rf for control/readout, so advancements in rf techniques are beneficial.

Explanation: No relevance; neutral atom qubits rely on optical methods, not rf.

Explanation: No relevance; trapped-ion technology does not utilize rf reflectometry for primary readout.

Explanation: Positive; IBM has research in topological quantum computing and superconducting qubits, where rf techniques are applicable.

Explanation: Neutral; trapped-ion approach does not depend on rf reflectometry.

Explanation: Inactive, always 0.0 per rules.

Explanation: Inactive, always 0.0 per rules.

Explanation: Inactive, always 0.0 per rules.


Arbitrary manipulation of nuclear spins in hexagonal boron nitride

Explanation: Not relevant; IONQ focuses on trapped-ion technology, unrelated to hBN spin qubits.

Explanation: Not relevant; Rigetti specializes in superconducting qubits, not spin qubits in hBN.

Explanation: Not relevant; D-Wave's quantum annealing technology differs from hBN-based spin manipulation.

Explanation: Not relevant; Quantum Computing Inc. uses neutral atom qubits, not solid-state hBN systems.

Explanation: Not relevant; Quantinuum focuses on trapped-ion technology, unrelated to hBN.

Explanation: High relevance; IBM has active spin qubit research, including defect-based systems like NV centers in diamond, aligning with this hBN advancement.

Explanation: Small positive; Honeywell's quantum revenue is low, but the research reflects general industry progress.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.

Explanation: Inactive; always 0.0 per specification.


Anisotropic Rabi Model as a Noise Biased Qubit

Explanation: High relevance due to trapped-ion technology; the anisotropic Rabi model directly improves coherence and gate operations for IONQ's pure-play quantum business.

Explanation: High relevance for Rigetti's superconducting qubits; the model enhances quantum performance in ultrastrong coupling regimes, benefiting its pure-play focus.

Explanation: Low relevance; D-Wave's quantum annealing approach does not align with gate-based operations or the Rabi model, resulting in minimal impact.

Explanation: Medium relevance; neutral atom qubits can apply the model for improved coherence, but it is less directly tied than trapped-ion or superconducting systems.

Explanation: High relevance for trapped-ion technology; Quantinuum's pure-play quantum business benefits from enhanced logical qubit protection and gate robustness.

Explanation: Relevant for superconducting qubits, but capped at maximum positive due to quantum being a small part (~2%) of its business.

Explanation: Relevant for trapped-ion qubits, but capped at maximum positive due to quantum being a small part (~1%) post-spinoff.

Explanation: No quantum hardware involvement; always scored 0.0.


Multi-entropy in random tensor networks

Explanation: The research is a theoretical advancement in quantum information theory, providing insights into multipartite entanglement via random tensor networks. It does not directly impact the near-term business or technology of any specific company. IBM receives a slight positive score due to its software focus (e.g., Qiskit) leveraging tensor networks. Other companies are unaffected, scoring neutral.


Atom Interferometry with Transverse Optical Modes

Explanation: Trapped-ion company; atom interferometry has some relevance to quantum sensing but not core to quantum computing.

Explanation: Superconducting company; no direct relevance to atom interferometry.

Explanation: Quantum annealing company; unrelated to this research.

Explanation: Pure-play neutral atom company; research directly advances core technology and quantum sensing.

Explanation: Trapped-ion company; some relevance to atom interferometry techniques.

Explanation: Superconducting quantum division; not impacted by atom-based research.

Explanation: Trapped-ion quantum business with minor relevance; small quantum revenue post-spinoff.

Explanation: Inactive; no quantum focus.

Explanation: Inactive; no quantum focus.

Explanation: Inactive; no quantum focus.


Optimizing the Sensitivity-Noise Trade-off in Non-Hermitian Sensing via Off-Exceptional-Deficiency Operation

Explanation: High relevance due to trapped-ion technology alignment with non-Hermitian sensing and quantum metrology advancements.

Explanation: High relevance for superconducting systems, which can leverage non-Hermitian physics for improved sensing and control.

Explanation: Low relevance; D-Wave focuses on quantum annealing for optimization, not directly related to sensing applications.

Explanation: High relevance; neutral atom systems can benefit from non-Hermitian enhancements in quantum sensing.

Explanation: High relevance as a trapped-ion pure-play, with strong alignment for quantum sensing improvements.

Explanation: Moderate positive impact; IBM has quantum sensing initiatives, but limited by ~2% quantum revenue share.

Explanation: Slight positive; trapped-ion technology has some relevance, but minimal impact due to ~1% quantum revenue post-spinoff.

Explanation: Inactive; not part of the quantum computing universe for scoring.


Photon shot-noise-limited Rydberg-EIT electrometry

Explanation: Moderate relevance. IONQ focuses on trapped-ion quantum computing. While this research on Rydberg-EIT electrometry is not directly related to computing, it demonstrates advancements in quantum control and sensing that could indirectly benefit trapped-ion technologies.

Explanation: Low relevance. Rigetti uses superconducting qubits, which do not typically involve Rydberg atom techniques. The research has minimal direct impact on their core architecture.

Explanation: Low relevance. D-Wave specializes in quantum annealing, which is unrelated to Rydberg-EIT electrometry or atomic sensing.

Explanation: High relevance. Quantum Computing Inc. focuses on neutral atom technology, and this research directly demonstrates a key advancement in Rydberg atom-based electrometry using rubidium, which is core to their approach.

Explanation: Moderate relevance. Quantinuum uses trapped-ion technology. The research shows progress in quantum sensing, which could have indirect applications or cross-technology benefits for their ion-based systems.

Explanation: Slight positive impact. IBM has a small quantum business with some sensing initiatives, but Rydberg-EIT is not their primary focus. The general quantum advancement provides minor relevance.

Explanation: Moderate positive impact. Honeywell has post-spinoff involvement in quantum sensing, and the trapped-ion context of this research aligns with their historical expertise, though it is not core to their current quantum revenue.

Explanation: Inactive. Microsoft is not a core player in quantum computing for this context and scores 0.0 by definition.

Explanation: Inactive. Alphabet (Google) has quantum efforts but is not a core player here and scores 0.0 by definition.

Explanation: Inactive. NVIDIA is not a core quantum computing company and scores 0.0 by definition.


Exclusive: Honeywell's Quantinuum raises $1.68 billion in US IPO as quantum computing heats up - Reuters

Explanation: Positive sentiment from quantum sector heating up, benefiting trapped-ion peers. High novelty, moderate decay.

Explanation: Positive sentiment from quantum sector heating up. High novelty, moderate decay.

Explanation: Direct positive impact from large IPO, validating company and technology. High novelty, moderate decay.

Explanation: Small benefit from increased interest in quantum computing. High novelty, moderate decay.

Explanation: Minor positive from sector sentiment and association with Quantinuum, but low quantum exposure post-spinoff. High novelty, moderate decay.

Explanation: Inactive, no quantum exposure.

Explanation: Inactive, no quantum exposure.

Explanation: Inactive, no quantum exposure.


Quantinuum Announces Closing of Upsized Initial Public Offering - Quantinuum

Explanation: Positive sentiment from sector growth and shared trapped-ion technology; impact may decay moderately.

Explanation: Positive sentiment from increased investor interest in quantum sector; different technology reduces direct impact; decay expected.

Explanation: Positive sentiment from sector growth; different annealing technology limits impact; moderate decay.

Explanation: Positive sentiment from quantum sector validation; different neutral atom technology; impact may decay.

Explanation: Direct positive impact from successful upsized IPO; highly novel and significant for the company; strong initial impact with moderate decay.

Explanation: Small positive sentiment from quantum sector growth; minimal quantum revenue exposure; low impact and quick decay.

Explanation: Positive sentiment from trapped-ion alignment and sector validation; low quantum revenue exposure reduces impact; decay expected.

Explanation: No quantum revenue; no impact from quantum-specific news.


Quantum computing stocks tumble ahead of Quantinuum IPO - Seeking Alpha

Explanation: Negative due to sector-wide tumble; pure-play exposure.

Explanation: Negative due to sector-wide tumble; direct subject of IPO news.

Explanation: Slightly negative; quantum is a small part of business.

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0


Quantum computing stocks tumble ahead of Quantinuum IPO - MSN

Explanation: Pure-play public company; negatively impacted by sector-wide tumble.

Explanation: Pure-play; upcoming IPO is focal point of negative sector sentiment.

Explanation: Hybrid company (~2% quantum revenue); muted negative impact.

Explanation: Hybrid company (~1% quantum revenue post-spinoff); slightly stronger negative impact due to spinoff context.

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0


Coherent room-temperature dipole synchronization in nanocavity sheets

Explanation: High relevance due to trapped-ion architecture utilizing cavity QED; room-temperature synchronization could enhance coherence and scalability.

Explanation: Moderate relevance; superconducting qubits use cavity QED, but room-temperature operation is not typical for current systems.

Explanation: Similar to RGTI; quantum annealing (superconducting-based) may benefit from cavity effects, but cryogenic requirements limit direct impact.

Explanation: High relevance; neutral atom quantum computing can leverage cavity-enhanced dipole interactions for improved spatial coherence.

Explanation: High relevance; trapped-ion technology benefits from cavity QED advancements, especially with room-temperature potential.

Explanation: Minor positive impact; broad quantum research may incorporate this, but limited by low quantum revenue share (~2%).

Explanation: Positive impact; trapped-ion focus with cavity applications, but lower quantum revenue share (~1%) caps score.

Explanation: Inactive in quantum computing; always 0.0 per specification.


Enhancement of charge correlations and real-space topological marker on an interacting non-Hermitian Su-Schrieffer-Heeger model

Explanation: The paper focuses on topological phases, which are not a primary focus for IONQ's trapped-ion architecture.

Explanation: Rigetti's superconducting qubits are not directly related to the topological aspects discussed; no significant impact.

Explanation: D-Wave's quantum annealing technology is less relevant to the theoretical SSH model and topological markers.

Explanation: Quantum Computing Inc.'s neutral atom approach does not align closely with the paper's focus on topological phases.

Explanation: Quantinuum's trapped-ion system is not primarily concerned with topological quantum computing; neutral impact.

Explanation: Relevant to IBM's topological quantum computing research, as the paper advances understanding of topological robustness and phase transitions.

Explanation: Honeywell's post-spinoff quantum focus on trapped-ion is not centered on topological phases; no direct relevance.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.

Explanation: Inactive; always 0.0.


Quantum element-wise transforms

Explanation: Pure-play trapped-ion company; the research on quantum element-wise transforms is highly relevant to gate-based quantum computing, which trapped-ion systems excel at, leading to a strong positive impact.

Explanation: Pure-play superconducting company; advancements in quantum algorithms directly enhance their gate-based systems, improving efficiency for applications like simulation and machine learning.

Explanation: Quantum annealing company; the research focuses on gate-based quantum computing, which is not applicable to D-Wave's annealing technology, resulting in no impact.

Explanation: Pure-play neutral atom company; neutral atom technology is gate-based and can leverage the new algorithms for better performance in linear algebra tasks, providing a strong positive impact.

Explanation: Pure-play trapped-ion company; similar to IONQ, the research is highly relevant for their trapped-ion systems, enhancing competitive positioning.

Explanation: Diversified company with ~2% quantum revenue from superconducting technology; the research is relevant but impact is limited due to small quantum revenue share.

Explanation: Company with ~1% quantum revenue from trapped-ion technology post-spinoff; the research is relevant for their quantum division but impact is capped due to low quantum focus.

Explanation: Inactive in quantum computing for this context; always 0.0.


Breakeven demonstration of quantum low-density parity-check codes

Explanation: Positive impact; the demonstration on a trapped-ion quantum computer highlights the technology's strength, benefiting IONQ as a pure-play trapped-ion company.

Explanation: Negative impact; the comparison shows superconducting qubits underperforming in qLDPC code demonstration, hurting Rigetti as a pure-play superconducting company.

Explanation: No direct relevance; D-Wave focuses on quantum annealing, not gate-based error correction like qLDPC codes demonstrated here.

Explanation: No impact; neutral atom technology not mentioned or relevant to this trapped-ion specific demonstration.

Explanation: Positive impact; as a trapped-ion company, Quantinuum benefits from the successful demonstration and performance improvements.

Explanation: Negative impact; as a superconducting company, the inferior performance in comparison affects IBM's quantum efforts.

Explanation: Positive impact; Honeywell produces trapped-ion systems, benefiting from the demonstration, though quantum revenue is a small portion.

Explanation: Inactive; no quantum computing relevance in this context.


Energy-Modulated Time-Asymmetric Spontaneous Collapse: Forward-Backward Dynamics from Stochastic Ito Reversal and Bright Solitons

Explanation: Relevant due to trapped-ion technology's connection to atomic physics and quantum many-body dynamics, though less direct than neutral atom systems.

Explanation: Indirect relevance; superconducting qubits may benefit from the theoretical framework in quantum dynamics, but the BEC focus is not directly applicable.

Explanation: Similar to RGTI; quantum annealing (superconducting-based) has indirect benefits from the theory, but the BEC example is not a direct fit.

Explanation: Highly relevant; the paper's focus on BEC of Li-7 atoms directly aligns with neutral atom quantum computing, core to QUBT's technology.

Explanation: Relevant due to trapped-ion technology's atomic physics basis, sharing similarities with BEC dynamics, though not identical.

Explanation: Limited relevance; IBM's small quantum focus may see indirect benefits from the theory, but its broader business reduces impact.

Explanation: Relevant as a trapped-ion player, but non-pure-play status and smaller quantum revenue cap the score at the maximum for HON.

Explanation: No quantum computing relevance; always inactive.


Resource Letter QIE-1: Research in quantum information education

Explanation: The resource letter on quantum information education promotes sector-wide growth by enhancing educational resources and research, which is expected to increase market adoption, talent development, and innovation in quantum technologies. Pure-play quantum companies (IONQ, RGTI, QBTS, QUBT, QNT) with 100% quantum revenue receive a high positive score of +1.8 due to their direct exposure and potential to benefit from increased demand. IBM and Honeywell, with smaller quantum divisions, receive their maximum positive scores (+0.15 and +0.3 respectively) as they are part of the ecosystem but have broader business interests. Microsoft, Google, and NVIDIA are inactive in quantum and score 0.0 as per the specification.


Nanostructure modelling with early fault tolerant quantum computers

Explanation: General positive impact as the article highlights fault-tolerant quantum simulation, relevant to trapped-ion technology.

Explanation: Indirect positive impact due to relevance of surface code error correction to superconducting architectures.

Explanation: No relevance, as quantum annealing is not used for the gate-based simulation described.

Explanation: Neutral atom technology not specifically addressed; no direct impact.

Explanation: General positive impact for trapped-ion companies in fault-tolerant quantum simulation applications.

Explanation: Direct positive impact from surface code reference, a key IBM technology.

Explanation: Indirect positive impact through Quantinuum spinoff, but low quantum revenue limits score.

Explanation: Inactive, no relevance.

Explanation: Inactive, no relevance.

Explanation: Inactive, no relevance.


Quantum Thermal Logic Gates

Explanation: Research focuses on quantum dots, not directly relevant to trapped-ion technology.

Explanation: Research on quantum dots does not directly apply to Rigetti's superconducting qubits.

Explanation: Quantum annealing (D-Wave) is not aligned with the logic gate focus of the research.

Explanation: Neutral atom technology is not directly related to the quantum-dot approach.

Explanation: Trapped-ion technology (Quantinuum) is not the primary focus of the research.

Explanation: Relevance to IBM's quantum dot research and nano-electronic expertise; positive for their diversified quantum portfolio.

Explanation: Trapped-ion technology (Honeywell) is not directly enhanced by this quantum-dot research.

Explanation: Inactive company, always scores 0.0.

Explanation: Inactive company, always scores 0.0.

Explanation: Inactive company, always scores 0.0.


Nonreversible Gauge Fields in Fokker--Planck Dynamics: Supersymmetric Hamiltonians and Learned Finite Forces

Explanation: Trapped-ion technology benefits from nonreversible dynamics for improved qubit control and faster relaxation in gate-based quantum computing.

Explanation: Superconducting qubits leverage the theory for enhanced stochastic control, coherence, and error correction in quantum algorithms.

Explanation: Direct relevance to quantum annealing through benchmarks like double-well and Ornstein-Uhlenbeck; nonreversible perturbations optimize annealing efficiency.

Explanation: Neutral atom technology is relevant for general quantum computing advancements but is less mature compared to other approaches.

Explanation: Trapped-ion systems benefit similarly to IONQ from improved dynamics for control and efficiency.

Explanation: Theoretical advances apply to quantum control and machine learning (e.g., VQAs), but limited by low quantum revenue share.

Explanation: Trapped-ion technology gains from nonreversible dynamics, but small quantum revenue constrains impact.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Robustness of Entanglement Manipulation for almost i.i.d. sources

Explanation: High relevance for trapped-ion gate-based quantum computing; entanglement research directly enhances core operations.

Explanation: High relevance for superconducting gate-based quantum computing; entanglement robustness improves algorithm reliability.

Explanation: Lower relevance as quantum annealing (D-Wave) does not primarily rely on entanglement concentration protocols.

Explanation: High relevance for neutral atom gate-based quantum computing; entanglement advancements support quantum processing.

Explanation: High relevance for trapped-ion gate-based quantum computing; entanglement research strengthens quantum capabilities.

Explanation: Moderate relevance for superconducting quantum division, but impact diluted by ~2% quantum revenue share.

Explanation: Moderate relevance for trapped-ion quantum business, but impact limited to ~1% quantum revenue post-spinoff.

Explanation: Inactive; no quantum focus per definition.


A framework for low-overhead quantum fault tolerance via spacetime lifting

Explanation: Significant advancement in fault tolerance directly benefits trapped-ion pure-play.

Explanation: Advancement in fault tolerance benefits superconducting pure-play.

Explanation: Quantum annealing less directly impacted by fault tolerance advancements; modest industry-positive sentiment.

Explanation: Neutral atom pure-play benefits from fault tolerance progress.

Explanation: Trapped-ion pure-play benefits significantly from low-overhead fault tolerance advancements.

Explanation: Positive for IBM Quantum division, but only ~2% quantum revenue.

Explanation: Positive for Honeywell quantum efforts, but only ~1% quantum revenue post-Quantinuum spinoff.

Explanation: Inactive; no quantum revenue focus per problem constraints.


A closed system setting for quantum thermalisation in free fermions

Explanation: High relevance; trapped-ion technology directly applicable to simulating the studied spin chain models for quantum dynamics and thermalisation.

Explanation: High relevance; superconducting qubits are commonly used for spin chain simulations, and the research enhances understanding of quantum thermalisation.

Explanation: Lower relevance; quantum annealing (D-Wave) differs from the unitary evolution focus of the paper, though thermal aspects may have indirect applicability.

Explanation: Good relevance; neutral atom technology is effective for spin chain simulations and benefits from insights into thermal dynamics.

Explanation: High relevance; trapped-ion technology aligns with the models studied, advancing quantum simulation and thermalisation research.

Explanation: Relevant for superconducting quantum thermal dynamics, but limited by ~2% quantum revenue share.

Explanation: Relevant for trapped-ion quantum technology, but impact constrained by ~1% quantum revenue post-spinoff.

Explanation: No quantum hardware focus; always inactive.

Explanation: No direct quantum hardware; quantum efforts (e.g., through X) not core to business; always inactive.

Explanation: GPU supplier for quantum computing, not quantum hardware; always inactive.


Benchmarking Floquet Master Equations for Periodically Driven Open Quantum Systems

Explanation: The research on Floquet master equations is highly relevant to gate-based quantum computing. IONQ, RGTI, QUBT, and QNT (pure-play, gate-based) score +2.0. IBM (superconducting, ~2% quantum revenue) and HON (trapped-ion, ~1% quantum revenue) score +0.15 and +0.3, respectively, due to revenue caps. QBTS (quantum annealing) is less relevant (+0.5) as it does not use driven spin models. MSFT, GOOGL, and NVDA are inactive (0.0).


Reliability of asymptotic work extraction

Explanation: Pure-play trapped-ion company; fundamental quantum thermodynamics research directly enhances IONQ's technology and industry relevance.

Explanation: Pure-play superconducting company; advancements in quantum work extraction principles are highly relevant to Rigetti's core business.

Explanation: Pure-play quantum annealing company; D-Wave's systems are subject to quantum thermodynamics, benefiting from this theoretical progress.

Explanation: Pure-play neutral atom company; research in quantum thermodynamics supports Quantum Computing Inc.'s technology development.

Explanation: Pure-play trapped-ion company; Quantinuum's focus aligns with the paper's insights into quantum work extraction reliability.

Explanation: Superconducting company with ~2% quantum revenue; research is relevant but has limited impact due to small quantum share.

Explanation: Trapped-ion company with ~1% quantum revenue; Honeywell's quantum division benefits moderately from this fundamental advance.

Explanation: Inactive; no quantum revenue focus, always 0.0.


Quantum enhanced rare event discovery and sampling

Explanation: High relevance as a pure-play trapped-ion quantum company; the research on quantum enhanced rare-event sampling is directly applicable and significant.

Explanation: High relevance as a pure-play superconducting quantum company; the research is directly applicable and beneficial.

Explanation: Lower relevance as D-Wave's quantum annealing technology is less suited for general rare-event sampling compared to gate-based approaches.

Explanation: High relevance as a pure-play neutral atom quantum company; the research is directly applicable and significant.

Explanation: High relevance as a pure-play trapped-ion quantum company; the research is directly applicable and significant.

Explanation: Low relevance due to small quantum revenue share, but the research is relevant for IBM's quantum division; score capped at maximum for partial quantum company.

Explanation: High relevance for Honeywell's trapped-ion quantum division, but score capped due to low quantum revenue share.

Explanation: Inactive, no quantum focus.

Explanation: Inactive, no quantum focus.

Explanation: Inactive, no quantum focus.


Quantum Algorithms for Triangle Cut Sparsification

Explanation: Pure-play trapped-ion company benefiting significantly from quantum algorithm advancements.

Explanation: Pure-play superconducting company benefiting significantly from quantum algorithm advancements.

Explanation: Quantum annealing company; less directly impacted as the algorithm is gate-based.

Explanation: Pure-play neutral atom company benefiting significantly from quantum algorithm advancements.

Explanation: Slight positive impact due to small quantum revenue share (~2%).

Explanation: Slight positive impact due to small quantum revenue share (~1%) with trapped-ion focus.

Explanation: Inactive; not a quantum computing company.


Non-equilibrium thermodynamics of collapse models in the strongly non-Gaussian regime

Explanation: Trapped-ion technology enables precise control for testing fundamental quantum models like collapse theories, making this research highly relevant for understanding decoherence and heating.

Explanation: Superconducting qubits face significant heating challenges; insights from non-equilibrium thermodynamics in collapse models can inform mitigation strategies.

Explanation: Quantum annealing is less directly tied to collapse models, but foundational research on non-Gaussian dynamics has broad implications for quantum system behavior.

Explanation: Neutral atom QC shares control similarities with trapped-ion systems, allowing potential applications in testing collapse models and improving system stability.

Explanation: Trapped-ion focus aligns with experimental tests of collapse models, providing strong relevance for addressing heating and non-equilibrium effects.

Explanation: Broad quantum research interests may benefit from foundational thermodynamics insights, but low quantum revenue share limits impact.

Explanation: Trapped-ion heritage provides some relevance, but reduced quantum focus post-Quantinuum spinoff and small revenue share constrain the score.

Explanation: Inactive (no quantum revenue)

Explanation: Inactive (no quantum revenue)

Explanation: Inactive (no quantum revenue)


Multiple Quantum Hypothesis Testing: One-Shot Pairwise Bounds and Sharp Asymptotics

Explanation: Significant positive impact; advancement in quantum hypothesis testing directly benefits trapped-ion pure-play with 100% quantum revenue.

Explanation: Significant positive impact; improvement in multiple quantum bounds relevant to superconducting pure-play with 100% quantum revenue.

Explanation: Moderate positive impact; general quantum theory advancement, but less direct relevance to quantum annealing optimization-focused approach.

Explanation: Significant positive impact; neutral atom pure-play benefits from improved quantum hypothesis testing bounds.

Explanation: Significant positive impact; trapped-ion pure-play with 100% quantum revenue gains from theoretical advancements.

Explanation: Slight positive impact; general sector advancement, but diluted by ~2% quantum revenue share.

Explanation: Slight positive impact; trapped-ion involvement via Quantinuum, but diluted by ~1% quantum revenue post-spinoff.

Explanation: No impact; inactive, non-quantum-focused company.


Semidefinite-programming hierarchies for classically simulable state families

Explanation: Research on classical simulability negatively impacts all pure-play quantum companies, but trapped-ion (IONQ) is less affected than quantum annealing.

Explanation: Research on classical simulability negatively impacts all pure-play quantum companies; superconducting (RGTI) is moderately affected.

Explanation: Research is highly relevant to quantum annealing (QBTS/D-Wave), which is often simulable, leading to a strong negative impact.

Explanation: Research on classical simulability negatively impacts all pure-play quantum companies; neutral atom (QUBT) is moderately affected.

Explanation: Research on classical simulability negatively impacts all pure-play quantum companies; trapped-ion (QNT) is moderately affected.

Explanation: Research negatively impacts quantum claims, but IBM's low quantum revenue share caps the score at the lower bound.

Explanation: Research negatively impacts quantum claims, but HON's low quantum revenue share caps the score at the lower bound.

Explanation: Inactive; no quantum focus, always 0.0.

Explanation: Inactive; no quantum focus, always 0.0.

Explanation: Inactive; no quantum focus, always 0.0.


Charge-Conjugation Violation and Population Asymmetry in Bipartite Fermionic Lattices

Explanation: Indirect relevance; trapped-ion quantum computers can simulate many-body systems.

Explanation: Indirect relevance; superconducting quantum computers can be used for such simulations.

Explanation: Lower relevance; quantum annealing may not efficiently handle fermionic lattice models with charge-conjugation violation.

Explanation: Direct relevance; paper explicitly mentions cold-atom quantum simulators for implementation.

Explanation: Indirect relevance; trapped-ion quantum computer capable of simulation.

Explanation: Small positive; IBM has quantum simulation capabilities.

Explanation: Small positive; Honeywell has quantum simulation efforts, though primarily trapped-ion.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Ferroelectric brightening of spin forbidden dark excitons in a WSe2/hybrid perovskite heterostructure

Explanation: The research on ferroelectric brightening of dark excitons enables spin manipulation without magnetic fields, which is highly relevant to trapped-ion (IONQ, QNT, HON) and neutral atom (QUBT) technologies. Pure-play companies in these areas (IONQ, QNT, QUBT) receive high scores (+1.5). Superconducting (RGTI, IBM) and quantum annealing (QBTS) companies have lower relevance, receiving modest scores. Non-pure-play HON and IBM get smaller positive scores within their caps. Inactive companies score 0.0.


Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link

Explanation: No direct relevance to QKD or SNSPD technology; focuses on trapped-ion quantum computing.

Explanation: Indirect benefit from SNSPD advancements, as Rigetti's superconducting quantum computers use similar detectors for readout, enhancing performance in high-loss scenarios.

Explanation: Similar indirect benefit to RGTI; D-Wave's quantum annealing systems utilize SNSPDs, improving capabilities for quantum applications.

Explanation: Neutral atom quantum computing detection typically uses different methods; no direct relevance to QKD or SNSPDs.

Explanation: Trapped-ion quantum computing unaffected by QKD-specific advancements; no significant link to SNSPDs or QKD deployment.

Explanation: Direct positive impact as IBM is a key QKD technology provider; the news validates scalable QKD deployment, aligning with IBM's quantum business.

Explanation: No significant QKD involvement; focuses on trapped-ion quantum computing post-Quantinuum spinoff.

Explanation: Inactive; always 0.0 per specifications.


Quantum-limited estimation of atmospheric turbulence via spatial mode decomposition

Explanation: The research advances quantum metrology, benefiting companies with quantum sensing capabilities. Trapped-ion (IONQ, QNT) and superconducting (RGTI) platforms are highly relevant (+2.0). Neutral atom (QUBT) has moderate relevance (+1.0). Quantum annealing (QBTS) is unrelated (0.0). IBM (+0.15) and HON (+0.3) contribute to quantum sensing but have smaller quantum revenue shares. Inactive companies score 0.0.


Efficient Quantum Circuit Construction of Controlled Time-Evolution for Arbitrary Pauli-Sum Hamiltonians

Explanation: Relevant to trapped-ion gate-based quantum computing; improves circuit efficiency.

Explanation: Relevant to superconducting gate-based quantum computing; improves circuit efficiency.

Explanation: Not relevant; quantum annealing does not utilize controlled time-evolution circuits.

Explanation: Relevant to neutral atom gate-based quantum computing; improves circuit efficiency.

Explanation: Relevant to superconducting quantum computing but only ~2% quantum revenue; positive impact scaled.

Explanation: Relevant to trapped-ion quantum computing but only ~1% quantum revenue post-spinoff; positive impact scaled.

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0

Explanation: Inactive; always 0.0


Forbidden transitions in superconducting artificial atoms

Explanation: Research on superconducting qubits not relevant to IONQ's trapped-ion technology.

Explanation: Rigetti uses superconducting qubits; research on forbidden transitions could significantly improve qubit control and performance.

Explanation: D-Wave uses superconducting qubits for annealing; fundamental research benefits the underlying technology.

Explanation: Neutral atom technology, unrelated to superconducting research.

Explanation: Trapped-ion technology, not superconducting; no impact.

Explanation: IBM uses superconducting qubits; research could advance the field, but impact is smaller due to non-quantum focus.

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0

Explanation: Inactive, always 0.0


Barbell Codes: qLDPC Codes for Superconducting Quantum Hardware

Explanation: The research on barbell codes targets superconducting hardware, benefiting RGTI (pure-play superconducting, +2.0) and IBM (superconducting with ~2% quantum revenue, +0.15). Other technologies (trapped-ion: IONQ, QNT, HON; quantum annealing: QBTS; neutral atom: QUBT) are unaffected (0.0). Inactive firms score 0.0.


Polymer quantum mechanics on compact configuration spaces

Explanation: Incremental research on polymer quantum mechanics has general relevance to quantum computing theory, especially for trapped-ion systems which can model discrete lattices used in quantum simulation.

Explanation: Superconducting qubit technology benefits from advances in quantum quantization theory, though the impact is moderate due to the incremental nature of the research.

Explanation: As a quantum annealing company, relevance is lower since polymer quantization focuses on discrete systems, while annealing involves continuous evolution; however, general quantum theory improvements are slightly positive.

Explanation: Neutral atom technology is well-suited for simulating lattice systems, making this research relevant for quantum simulation applications.

Explanation: Trapped-ion pure-play with a focus on quantum hardware benefits from foundational advances in quantum mechanics, though the research is incremental.

Explanation: With only ~2% quantum revenue, the impact of incremental research is diluted; however, it may slightly benefit IBM's quantum division through broader quantum theory insights.

Explanation: Trapped-ion technology with ~1% quantum revenue post-spinoff; relevance is similar to IONQ but with a smaller quantum focus, resulting in a lower score.

Explanation: Inactive in quantum computing; always 0.0