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README.md
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**Source-verified quantum and quantum-AI datasets for 2026 research workflows.**
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print(row["source_url"])
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```
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## 2026 Portfolio
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| Metric | Value |
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**Source-verified quantum and quantum-AI datasets for 2026 research workflows.**
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[](https://huggingface.co/Neura-parse)
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[](https://huggingface.co/collections/Neura-parse/neura-parse-quantum-6a4bb226e5d170933aaf8fdd)
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[](https://huggingface.co/Neura-parse)
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[](https://creativecommons.org/licenses/by/4.0/)
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</div>
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source-backed research data: every published row carries `source_url`
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provenance and is labeled `source=neura-parse-research`.
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<div style="display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:12px;margin:18px 0;">
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<div style="border:1px solid #e5e7eb;border-radius:10px;padding:14px;">
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<strong>Explore 17 datasets</strong><br/>
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A broad quantum foundation plus deep verticals for algorithms, QML, hardware,
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error correction, simulation, networking, sensing, security, and more.
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</div>
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<div style="border:1px solid #e5e7eb;border-radius:10px;padding:14px;">
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<strong>Load with datasets</strong><br/>
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Every repository exposes viewer-ready Parquet with explicit train/test splits
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and a shared schema across six record formats.
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</div>
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<div style="border:1px solid #e5e7eb;border-radius:10px;padding:14px;">
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<strong>Verify provenance</strong><br/>
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Every row carries <code>source_url</code>, <code>source</code>, license,
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taxonomy, provenance, and quality fields for direct inspection.
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</div>
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</div>
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## Quick Start
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```bash
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print(row["source_url"])
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```
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## Start Here
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| Path | Dataset |
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| --- | --- |
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| Broad foundation | [`quantum-computing`](https://huggingface.co/datasets/Neura-parse/quantum-computing) |
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| Algorithms and derivations | [`advanced-quantum-algorithms`](https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms) |
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| Programming and compiled code | [`quantum-compilation-and-programming`](https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming) |
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| Fault tolerance and QEC | [`fault-tolerant-quantum-computing`](https://huggingface.co/datasets/Neura-parse/fault-tolerant-quantum-computing) |
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| 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) |
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| 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) |
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## 2026 Portfolio
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| Metric | Value |
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