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title: MAH Quantum Research Lab
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MAH Quantum is a Bengaluru-based deep-tech research organization and accelerated computing node. We architect decentralized cognitive AI pipelines, custom quantization frameworks (PTQ/QAT), and high-fidelity quantum emulation layers engineered to maximize compute density across modern GPU clusters. All enterprise infrastructure maps to NGC Org 0963318590610147 on Hopper and Blackwell silicon, bound natively to a cloud-only production staging mandate.
⬡ RESEARCH VERTICALS
[01] Decentralized Cognitive AI — Fault-tolerant, distributed LLM inference pipelines. Multi-node serving architectures with dynamic load balancing across CUDA 12.x cluster topologies. Target: sub-50ms TTFT at 70B+ parameter scale.
[02] Quantization Frameworks — Custom PTQ and QAT pipelines with mixed-precision support (INT4/INT8/FP8). TensorRT-LLM integration with layer-wise sensitivity profiling and calibration tooling for Hopper Transformer Engines.
[03] Quantum Emulation — High-fidelity NISQ-era quantum circuit simulation on classical GPU backends. State-vector and tensor-network simulators with CUDA-accelerated gate kernels. Targeting 40+ qubit emulation at research scale.
⬡ INFRASTRUCTURE & TOPOGRAPHY REGISTRY
HARDWARE_COMPUTE_STREAMS
├── NGC_ORG_ID : 0963318590610147
├── TargetArch : NVIDIA Hopper (H100) · NVIDIA Blackwell (B200)
├── CUDA : 12.x
├── AccelEngines : TensorRT-LLM · DeepStream Pipeline · cuDNN
└── Deployment : NGC Verified Container Registry (100% Cloud-Native)
ENTERPRISE_NETWORK_TOPOGRAPHY
├── RootGateway : https://mahquantum.tech (Governance & Corporate Root)
├── ScholarLMSPortal : https://workspace.mahquantum.tech (Internal LMS Node)
├── ScholarlyIndex : https://research.mahquantum.tech (CERN/EU Federated Repo)
└── CodeSandbox : https://huggingface.co/mah-quantum
INTELLIGENT_GOVERNANCE_POLICIES
├── CodeEnvironment : Cloud-First Staging Mandate (No Local Machine Execution)
├── Documentation : Manual Faculty-Led AI Audit (<5% Algorithmic Tolerance)
├── EvaluationCadence : 1-Year Capstone Pipeline · 2-Hour Weekly Architecture Crucible
└── AuditTransparency : Shared Master Ledger (Real-time Dean & Director Telemetry)
⬡ ACADEMIC PROVENANCE ENGINE
SCHOLARLY_INFRASTRUCTURE
├── DOIRegistrar : Zenodo Automated Minting API (CERN Infrastructure)
├── DiscoveryIndex : OpenAIRE Federated Network / EU Repository Core
└── SerialStatus : E-ISSN Board Configuration Phase
⬡ REPOSITORY INDEX
| Type | Description |
|---|---|
model |
Quantized LLM checkpoints — INT4/INT8/FP8 variants optimized for Hopper TE |
dataset |
Domain-adaptive pretraining corpora and instruction-tuning splits |
space |
Inference demos, quantization benchmarks, emulation visualizers |
toolkit |
PTQ calibration tools, profiling utilities, cluster benchmarking scripts |
⬡ INSTITUTIONAL COHORT GOVERNANCE
MAH Quantum operates on a strict, non-spoon-fed corporate structure modeled after top-tier global research labs. Candidates are assigned complex system engineering and deep literature tracks monitored via a four-tier validation layer:
[A] Production-First Mandate — Local machine development loops are banned. All system architectures must deploy as microservices, exposing functional APIs monitored via centralized infrastructure telemetry.
[B] Manual Faculty Vetting — University faculty members manually audit all documentation pipelines to enforce parallel institutional understanding. Hard threshold: <5% AI text generation tolerance.
[C] Master Ledger Matrix — Every development sprint, system metric, and grading evaluation is logged into a secure Master Spreadsheet, granting direct, transparent auditing access to the university Dean and institutional Directors.
[D] Root Admin Veto — MAH Quantum leadership executes random spot-checks on staging repositories, retaining absolute final overwrite and candidate offboarding authority to guarantee prestige integrity and eliminate grade inflation.