Loading...
Quantum phase estimation executed as a real statevector simulation: Hadamards, the controlled-phase ladder and an inverse QFT applied to a state vector, with the Born-rule distribution sampled. Dyadic eigenphases are exactly representable and succeed with probability 1; non-representable phases report the nearest bin and record that the phase was not exact.
Metric names, units, and scientific meaning defined by this benchmark version.
Probability mass on the correct (nearest) phase bin.
Circuit depth after construction.
Total logical gate count.
Controlled-gate count.
End-to-end local runtime.
No verification evidence recorded.
Reference suite phase-estimation-textbook and version 0.1.0 in a KetQat experiment manifest, then run it locally with the SDK.
Imported results are schema-validated and accepted only when the server recalculates the same reproducibility hash.
{
"problem_type": "eigenphase",
"algorithm_family": "phase-estimation",
"simulation_method": "Statevector simulation of the textbook QPE circuit; Born-rule sampling of the counting register.",
"success_criterion": "Measured counting-register bitstring equals the best fixed-point approximation of the eigenphase.",
"measurement_definition": "Computational-basis measurement of the counting register.",
"problem_instance_definition": "A single eigenphase applied by a controlled-phase ladder; counting-register width sweeps the size axis.",
"reference_solution_definition": "The eigenphase is set in the manifest, so the correct bin is known analytically."
}{
"phase": 0.375,
"shots": 4096,
"qubit_counts": [
3,
4,
5,
6,
7,
8
]
}