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| pretty_name: "Random quantum circuits: 5 qubits (ANU)" | |
| license: cc-by-4.0 | |
| tags: | |
| - lightrider | |
| - quantum-provenance | |
| - quantum-circuits | |
| - benchmark | |
| - synthetic | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-00000-of-00001.parquet | |
| # Random quantum circuits: 5 qubits (ANU) | |
| 500 random quantum circuits on 5 qubits, depth 10, using the gates `h`, `x`, `sx`, `rz`, `cx`, with every qubit measured at the end. Each row is one circuit, as `qasm` (OpenQASM 2.0) and as `instructions` (JSON). | |
| The dataset was generated from a seed drawn from `anu_aws_001` through | |
| [Light Rider](https://entropy.lightriderinc.com). The seed comes with a signed receipt, so anyone | |
| can check where the data came from and regenerate it exactly. | |
| ## Provenance | |
| | | | | |
| |---|---| | |
| | Entropy source | `anu_aws_001` | | |
| | Drawn | 2026-10-15 19:23 UTC | | |
| | Light Rider request | `lr_sreq_4d43a5d148aa4803a967f4b4c0b27a50` | | |
| | Seed | `85a4fdaa76460b509bcd9e3d44b2efa78f7141dfe169949191d147946cc03ff2` | | |
| | Generator | `random_circuits/1` | | |
| | Rows | 500 | | |
| Parameters: | |
| ```json | |
| { | |
| "num_circuits": 500, | |
| "num_qubits": 5, | |
| "depth": 10, | |
| "gate_set": [ | |
| "h", | |
| "x", | |
| "sx", | |
| "rz", | |
| "cx" | |
| ], | |
| "measure": true | |
| } | |
| ``` | |
| <details> | |
| <summary>Full technical record</summary> | |
| | | | | |
| |---|---| | |
| | Receipt signature | Ed25519, key fingerprint (SHA-256) `363b9750db0acd16ab188e4ecc8a58e4f811b28f5870cfc3ba4522274a11645e` | | |
| | Output commitment (signed) | `sha256:e59bde450188568ad6a785364376b29d40ebdec8d1d5925ddffb0bb686205004` | | |
| | Commitment salt | `e4dba2f135988289500d73cc32c7300d9259ef7a5db46125524b164bffaa1c94` | | |
| | Generator stream | LR-ChaCha20 v1, domain `random_circuits` | | |
| | Content hash (lr-canonical-jsonl/1) | `11b573af44e686a4f6d06779a456f8e78a52fde8731cbbeb38596ce7164c49d6` | | |
| | Built with | lightrider-huggingface 0.1.1, lightrider 1.6.1, pyarrow 26.0.0 | | |
| The complete record is in [`lightrider_provenance.json`](lightrider_provenance.json). The signed receipt, exactly as | |
| issued, is in [`receipt.json`](receipt.json). | |
| </details> | |
| ## How to verify | |
| ```bash | |
| pip install lightrider-huggingface | |
| ``` | |
| ```python | |
| import lightrider_huggingface as lrhf | |
| print(lrhf.verify("LightRider-Inc/random-quantum-circuits")) | |
| ``` | |
| This needs no Light Rider account. It prints each check as PASS or FAIL. | |
| ## How verification works | |
| 1. **The receipt is genuine.** Light Rider signs every draw's receipt (Ed25519). The public key is | |
| at [entropy.lightriderinc.com/api/v1/public-key](https://entropy.lightriderinc.com/api/v1/public-key). | |
| 2. **The seed is that draw's output.** The signed receipt includes a hash of the exact bytes drawn, | |
| so a seed from any other draw doesn't match. | |
| 3. **The data follows from the seed.** Generation is deterministic, so `verify` rebuilds every row | |
| from the seed and parameters and compares it with the published data. | |
| ## What this doesn't claim | |
| That quantum randomness makes this dataset better than one built with a good classical generator. | |
| It's an alternative source whose origin you can check. A receipt also can't show that the publisher | |
| drew only once; its timestamp shows when the draw happened. | |