# Neura Parse
**Source-verified quantum and quantum-AI datasets for 2026 research workflows.**
[](https://huggingface.co/Neura-parse)
[](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)
[](https://huggingface.co/Neura-parse)
[](https://creativecommons.org/licenses/by/4.0/)
Neura Parse publishes multi-format datasets for supervised fine-tuning,
evaluation, retrieval-augmented generation, code agents, and continued
pretraining across quantum computing and quantum AI. The v3.1 portfolio is
source-backed research data: every published row carries `source_url`
provenance and is labeled `source=neura-parse-research`.
Explore 17 datasets
A broad quantum foundation plus deep verticals for algorithms, QML, hardware,
error correction, simulation, networking, sensing, security, and more.
Load with datasets
Every repository exposes viewer-ready Parquet with explicit train/test splits
and a shared schema across six record formats.
Verify provenance
Every row carries source_url, source, license,
taxonomy, provenance, and quality fields for direct inspection.
## Quick Start
```bash
pip install -U datasets
```
```python
from datasets import load_dataset
ds = load_dataset("Neura-parse/quantum-computing", split="train")
row = ds[0]
print(row["record_type"], row["topic"])
print(row["source_url"])
```
## Start Here
| Path | Dataset |
| --- | --- |
| Broad foundation | [`quantum-computing`](https://huggingface.co/datasets/Neura-parse/quantum-computing) |
| Algorithms and derivations | [`advanced-quantum-algorithms`](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) |
| Programming and compiled code | [`quantum-compilation-and-programming`](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) |
| Fault tolerance and QEC | [`fault-tolerant-quantum-computing`](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) |
| QML models and theory | [`quantum-machine-learning-models`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models) / [`quantum-machine-learning-theory`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) |
| Hardware, devices, and validation | [`quantum-hardware-device-physics`](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) / [`quantum-error-mitigation-and-benchmarking`](https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking) |
## 2026 Portfolio
| Metric | Value |
| --- | ---: |
| Public datasets | 17 |
| Total rows | 1,891,534 |
| Train / test rows | 1,702,036 / 189,498 |
| Minimum rows per dataset | 105,928 |
| Taxonomy coverage | 375 topics across 94 categories |
| Unique source URLs checked | 697 |
| Bad source URLs in final audit | 0 |
| arXiv identifiers verified | 513 |
| Fabricated arXiv identifiers | 0 |
| Code records compiled | 177,532 |
| Code compile failures | 0 |
## Record Formats
| Format | Rows |
| --- | ---: |
| `qa_open` | 581,538 |
| `qa_mcq` | 519,420 |
| `instruction` | 403,723 |
| `concept` | 205,530 |
| `code` | 177,532 |
| `corpus` | 3,791 |
## Source Verification
Every v3.1 dataset card exposes the same provenance contract:
- `source_url` on every published row.
- `source=neura-parse-research` across the release.
- `provenance.method` retained for curated and hybrid research rows.
- Schema, taxonomy-fit, deduplication, active-source, arXiv-ID, and code checks
applied during the release pipeline.
- Release labels are normalized to source-backed Neura Parse research provenance.
## Choose a Dataset
| Need | Start here |
| --- | --- |
| Broad quantum-computing coverage | [`quantum-computing`](https://huggingface.co/datasets/Neura-parse/quantum-computing) |
| Derivations, QSVT, block encodings, Hamiltonian simulation | [`advanced-quantum-algorithms`](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) |
| Quantum software, compilation, routing, executable code | [`quantum-compilation-and-programming`](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) |
| QEC, decoders, magic states, logical resources | [`fault-tolerant-quantum-computing`](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) |
| QML models and code-heavy model workflows | [`quantum-machine-learning-models`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models) |
| QML theory, trainability, generalization | [`quantum-machine-learning-theory`](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) |
| Hardware, calibration, device physics | [`quantum-hardware-device-physics`](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) |
| Networking, repeaters, distributed systems | [`quantum-networking-and-distributed`](https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed) |
| Security, QKD, post-quantum cryptography | [`quantum-cryptography-and-post-quantum-security`](https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security) |
| Sensing, metrology, Fisher information | [`quantum-sensing-and-metrology`](https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology) |
| Chemistry, materials, simulation workflows | [`quantum-simulation-chemistry-materials`](https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials) |
| Topological phases, anyons, Majorana systems | [`topological-quantum-computing`](https://huggingface.co/datasets/Neura-parse/topological-quantum-computing) |
## Dataset Family
| Dataset | Rows | Focus |
| --- | ---: | --- |
| [advanced-quantum-algorithms](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) | 105,928 | QSVT, block encodings, Hamiltonian simulation, amplitude estimation, and resource analysis. |
| [ai-for-quantum](https://huggingface.co/datasets/Neura-parse/ai-for-quantum) | 113,007 | ML, RL, and LLM/agent methods for decoding, control, characterization, calibration, and software. |
| [bosonic-photonic-quantum-computing](https://huggingface.co/datasets/Neura-parse/bosonic-photonic-quantum-computing) | 110,330 | Continuous-variable, bosonic, and photonic quantum computing. |
| [fault-tolerant-quantum-computing](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) | 109,594 | QEC codes, decoders, magic states, logical gates, and resource estimation. |
| [quantum-compilation-and-programming](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) | 115,025 | Quantum programming, compilation, routing, optimization, verification, and tooling. |
| [quantum-computing](https://huggingface.co/datasets/Neura-parse/quantum-computing) | 117,041 | Broad quantum coverage across theory, hardware, software, algorithms, and QML. |
| [quantum-cryptography-and-post-quantum-security](https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security) | 106,488 | QKD, quantum cryptography, quantum attacks, and post-quantum security. |
| [quantum-error-mitigation-and-benchmarking](https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking) | 113,440 | Error mitigation, characterization, tomography, randomized benchmarking, and NISQ validation. |
| [quantum-hardware-device-physics](https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics) | 106,181 | Qubit design, coherence, noise, control, cryogenics, packaging, and scaling. |
| [quantum-information-and-complexity-theory](https://huggingface.co/datasets/Neura-parse/quantum-information-and-complexity-theory) | 108,984 | Channels, entropies, entanglement, complexity classes, and advantage theory. |
| [quantum-machine-learning-models](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-models) | 115,429 | Encodings, kernels, variational classifiers, QNNs, generative models, and deep QML. |
| [quantum-machine-learning-theory](https://huggingface.co/datasets/Neura-parse/quantum-machine-learning-theory) | 109,283 | Trainability, barren plateaus, generalization, quantum data, and sample complexity. |
| [quantum-networking-and-distributed](https://huggingface.co/datasets/Neura-parse/quantum-networking-and-distributed) | 109,501 | Entanglement distribution, repeaters, protocols, distributed computing, and modular systems. |
| [quantum-optimization](https://huggingface.co/datasets/Neura-parse/quantum-optimization) | 113,986 | QAOA, annealing, adiabatic methods, Ising/QUBO mappings, finance, and advantage analysis. |
| [quantum-sensing-and-metrology](https://huggingface.co/datasets/Neura-parse/quantum-sensing-and-metrology) | 112,220 | Fisher information, Heisenberg scaling, clocks, magnetometry, interferometry, and sensor networks. |
| [quantum-simulation-chemistry-materials](https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials) | 114,656 | Chemistry and materials simulation, encodings, VQE, QPE, dynamics, and Hamiltonian workflows. |
| [topological-quantum-computing](https://huggingface.co/datasets/Neura-parse/topological-quantum-computing) | 110,441 | Anyons, topological phases, braiding, Majorana modes, TQFT, and topological architectures. |
## Links
- [Neura Parse organization](https://huggingface.co/Neura-parse)
- [Quantum dataset collection](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)
- [Dataset framework reference](https://huggingface.co/Neura-parse)