open-standards/wai/quantum-conformance/receipts/jobs/crafted-kind-turns-shots.json
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wai-quantum: receipts say where their counts come from and what was set at the provider, and a second verifier checks them
A provider's result now states counts_source (shots, vendor_counts or
probabilities, since counts rebuilt from probabilities are derived) and
execution (what each client set off at the provider, built from the very body
it posts). It labels a simulator's counts simulated rather than measured, and
carries the compiled program's text beside its hash. Receipts sealed before
these fields still verify, and are read by their provenance.

Section 8 of the provider protocol is rewritten so that a verifier can be
written from it alone: the seal byte for byte, the strict reader, the canonical
text and the first form's, strict Ed25519, the per-kind rows, seventeen named
reasons, and what a receipt proves. A second verifier was written in Python
from that text by a reader who had not seen the reference, and its gaps became
the text. The reference had accepted a receipt under a small-order key for any
content, any alg, upper-case or +-spelled hex and duplicate members, and
panicked on a two-byte character in a key; it refuses each now.

A corpus of receipts made by the command line, the job service and every
built-in kind, plus receipts crafted to break one rule each, is judged by both
verifiers on every receipt and every one-member change of each valid one, and
each planted defect must be caught. CI runs it beside the CLI's build.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-11-05 15:09:03 -05:00

120 lines
4.6 KiB
JSON

{
"status": "done",
"method": "provider",
"why": "on mine, native-turns:simulator (native-turns): compiled exactly to gpizz on its qubits and checked by simulation here before it was sent",
"request": {
"qasm": "OPENQASM 3.0;\nqubit[2] q;\nbit[2] c;\nh q[0];\ncx q[0], q[1];\nc = measure q;\n",
"shots": 400,
"provider": "mine"
},
"result": {
"method": "provider",
"qubits": 2,
"gates": 2,
"accuracy": {
"class": "simulated",
"note": "counts from the provider's simulator or emulator, as provider.provenance names it, not measured on any device: classical software's sample of the program, read as counts_source says; they show what that software gives, under whatever noise it models, not what a device would"
},
"shots": 400,
"provider": {
"name": "mine",
"kind": "native-turns",
"protocol": "native-turns",
"device": "native-turns:simulator",
"provenance": "simulator:native-turns simulator, noise ideal",
"qubits": 8,
"basis": "gpizz",
"describe": "93a83ea1002d3b86cfd40a37a5b7db3b3e4f4e39ef2bfac05e248495e2c24278"
},
"calibration": null,
"compiled": {
"basis": "gpizz",
"program": "7bfa03b310e68ffe2cf1357652f9e6dadd812c852855b3ba0f2864943bbea9ff",
"hash": "BLAKE3 of the program's OpenQASM 3 text, qasm3",
"qasm3": "OPENQASM 3.0;\ninclude \"stdgates.inc\";\ngate gpi(phi) a { rz(-2*pi*phi) a; x a; rz(2*pi*phi) a; }\ngate gpi2(phi) a { rz(-2*pi*phi) a; rx(pi/2) a; rz(2*pi*phi) a; }\ngate zz(theta) a, b { cx a, b; rz(2*pi*theta) b; cx a, b; }\nbit[2] c;\ngpi2(0.75) $0;\ngpi2(0.75) $1;\nzz(0.25) $0, $1;\ngpi2(0.5) $1;\nc[0] = measure $0;\nc[1] = measure $1;\n",
"native_gates": 4,
"two_qubit_gates": 1,
"swaps": 0,
"layout": [
0,
1
],
"final_layout": [
0,
1
],
"checked": "the compiled program's final state equals the circuit's, each logical qubit on the physical qubit it ends on, by the bit-exact simulator here; nothing has been sent",
"placement": {
"chosen": "the compiler's own layout, the fewest swaps: the description does not read as a device target (describe: native_gates lists the device's gates)"
}
},
"job": {
"id": "turns-0",
"polls": 0
},
"ideal": {
"computed": true,
"method": "exact",
"total_variation_distance": 0.0,
"hellinger_fidelity": 1.0,
"sampling_tvd_expected": 0.019947114020071634,
"ideal_outcomes": 2,
"note": "the circuit's exact distribution over its classical bits, by the bit-exact state vector here, against the provider's counts: the total variation distance, the Hellinger fidelity, and the distance this many shots of the exact distribution would leave on average (by the normal approximation); a distance well above that is the device's or the simulator's error, or a program not run as sent"
},
"cost": {
"free": false,
"estimate": {
"unknown": "the provider gives no estimate"
},
"charged": null,
"confirmed": true
},
"energy": {
"unmetered": "the work ran at the provider; this host's meter would read only the wait",
"service_kwh": 0.0,
"service_kwh_is": "the provider's own figure, not a measurement here"
},
"counts_source": "shots",
"execution": {
"stated_by": "client",
"sent": {
"fields": [
"backend",
"input",
"settings",
"shots",
"type"
],
"settings": {
"/input/gateset": "native",
"/settings/error_mitigation/debiasing": false
}
},
"verbatim": false,
"note": "debiasing is sent off and the program goes in the service's native gate set; the request sets nothing for twirling, decoupling, remapping or optimisation, so the service's defaults stand",
"mitigation": "off",
"twirling": "default",
"decoupling": "default",
"remapping": "default",
"optimisation": "default"
},
"counts": {
"00": 200,
"11": 200
},
"distinct_outcomes": 2,
"omitted_shots": 0,
"engine": {
"name": "wai-quantum",
"version": "0.8.1"
},
"schema": "wai.quantum.job-result/1",
"receipt": {
"alg": "ed25519",
"canon": "rfc8785",
"key": "197f6b23e16c8532c6abc838facd5ea789be0c76b2920334039bfa8b3d368d61",
"digest": "d09075254a3f802a1ad8faabf962b9907cfad9dfdc9a21d70b23a490ee24f22f",
"signature": "7a4991206d0dbbe67a2140f7b477fc0bbf09d67f60b946ebc737a2c12840a07a8515a7901ce6cb73a7ad089422e5a54f223ba53144d4dce7da4335732fc5c005"
}
}
}