7c41dfe95c
quantum-conformance/receipts/ gains eight energy-landscape receipts the command line made (a sampling run, a settle, a quench, a replay, a sweep, a comparison, and a run on the reference provider, free and priced) and 44 crafted from them, each changing one thing at a rule of quantum-landscape §5.4: a board certified within a capacity and its audit (valid), the floor, a demotion, the reference's own parity, the replay digest, the state's hash, the verdict against the truth, a replay's lines, a sweep's and a comparison's rows, a provider's members, and the first form. receipt_verify.py, written from §5.4's numbered rules, gives `landscape_form` as the engine does, with a self-test of its own and the plant `landscape-unchecked`, which the differential catches (CI's plant count 14 -> 15). The differential agrees three ways on all 389 receipts and on every one of the 28,886 one-member changes of the valid ones. Its float mutation, `v * 2 + 1`, is `v` at -1.0, which a sweep's `lowest` holds: it now changes -1.0 to 0.5. Co-Authored-By: Claude Opus 5.5 <[email protected]>
96 lines
3.2 KiB
JSON
96 lines
3.2 KiB
JSON
{
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"request": {
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"program": "#! title Three colours, four regions: this fails\n#! about Four regions, two triangles sharing a side. There are six good ways to colour it, and none of them has the lowest energy, for the same reason: 0 is not just a third colour.\n#! expect fails\n#! check different 0-1 0-2 1-2 1-3 2-3\nvars 4\noppose 0 1\noppose 0 2\noppose 1 2\noppose 1 3\noppose 2 3\nsolve restarts=8 steps=40\n",
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"seeds": 2
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},
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"result": {
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"protocol": "wai.quantum.landscape/1",
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"label": "A classical emulator of the settling model of a planned energy-based processor, running on your machine. Energies are computed exactly. The joule line is this run's operation count priced at rates measured on an FPGA, with a published figure for one integer add beside it for scale. No photonic hardware, custom chip or quantum effect is involved in this run.",
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"member": {
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"id": "cpu:reference",
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"class": "cpu",
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"kernels": [
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{
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"kernel": "wai.quantum.landscape/sample",
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"parity": "reference"
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},
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{
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"kernel": "wai.quantum.landscape/settle",
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"parity": "reference"
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}
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]
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},
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"target": -3,
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"target_is_exact": true,
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"arrangements": 81,
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"rows": [
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{
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"solver": "emulator, sampling, starting at 1.581",
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"classical": false,
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"parity": "reference",
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"runs": 2,
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"reached_target": 2,
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"passed_checks": 0,
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"best_energy": -3,
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"operations_per_run": 4480,
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"accumulates_per_run": 3200
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},
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{
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"solver": "emulator, deterministic",
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"classical": false,
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"parity": "reference",
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"runs": 2,
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"reached_target": 1,
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"passed_checks": 1,
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"best_energy": -3,
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"operations_per_run": 4480,
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"accumulates_per_run": 3200
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},
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{
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"solver": "simulated annealing",
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"classical": true,
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"parity": null,
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"runs": 2,
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"reached_target": 2,
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"passed_checks": 0,
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"best_energy": -3,
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"operations_per_run": 4482,
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"accumulates_per_run": 2136
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},
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{
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"solver": "tabu search",
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"classical": true,
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"parity": null,
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"runs": 2,
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"reached_target": 2,
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"passed_checks": 0,
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"best_energy": -3,
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"operations_per_run": 4485,
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"accumulates_per_run": 1077
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},
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{
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"solver": "greedy descent",
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"classical": true,
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"parity": null,
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"runs": 2,
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"reached_target": 2,
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"passed_checks": 0,
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"best_energy": -3,
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"operations_per_run": 4483,
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"accumulates_per_run": 2087
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}
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],
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"engine": {
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"name": "wai-quantum",
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"version": "0.9.0"
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},
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"schema": "wai.quantum.landscape/1",
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"receipt": {
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"alg": "ed25519",
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"canon": "rfc8785",
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"key": "197f6b23e16c8532c6abc838facd5ea789be0c76b2920334039bfa8b3d368d61",
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"digest": "57540354c7e4d95aef0550da3e958a5d58584d64ebc47f82c5f7203adec9d9df",
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"signature": "9d37b395043fcad0f6b6ef8c0f9246057eb234f50da0c826d5c0da16067155e3372e66860a1f0d74056282493f687ca9e7d0bc4f9c90c3cdc9bb77f2094af504"
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}
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}
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}
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