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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.
|