LightRiderInc/random-clifford-circuits-iqm

Random Clifford circuits: 5 qubits (IQM)

500 random quantum circuits on 5 qubits, depth 10, using the gates h, sx, 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 iqm_resonance_001 through Light Rider. The seed comes with a signed receipt, so anyone can check where the data came from and regenerate it exactly.

Provenance

Entropy source	iqm_resonance_001
Drawn	2026-10-19 17:54 UTC
Light Rider request	lr_sreq_b0a87654412d469bba26c078b8cd7b35
Seed	c02a6d7e333750e03d688c5b9d1b986b7986533328c3b513f0152ce716bff42e
Generator	random_circuits/1
Rows	500

Parameters:

{
  "num_circuits": 500,
  "num_qubits": 5,
  "depth": 10,
  "gate_set": [
    "h",
    "sx",
    "cx"
  ],
  "measure": true
}

Full technical record

Receipt signature	Ed25519, key fingerprint (SHA-256) 363b9750db0acd16ab188e4ecc8a58e4f811b28f5870cfc3ba4522274a11645e
Output commitment (signed)	sha256:74f42fbdc80bba220662a47f18d404a0dec2fc6de8c34f3303905ad6bc934ca5
Commitment salt	ee0760b232e97c8275243b61e90e15e981c32d10139f0d35d4b38d205b801474
Generator stream	LR-ChaCha20 v1, domain random_circuits
Content hash (lr-canonical-jsonl/1)	758ecc071acb517a776fb7204ed54c6c0537b23ee60f8a919154586be886f4b0
Built with	lightrider-huggingface 0.1.1, lightrider 1.6.2, pyarrow 26.0.0

The complete record is in lightrider_provenance.json. The signed receipt, exactly as issued, is in receipt.json.

How to verify

pip install lightrider-huggingface

import lightrider_huggingface as lrhf

print(lrhf.verify("LightRiderInc/random-clifford-circuits-iqm"))

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.
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.