Characterization benchmarks
Diagnostic protocols (tomography, fidelity estimation, noise learning) that reconstruct what a device actually does: the toolbox that score-style benchmarks build on.
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Scalable characterization protocol that estimates the Pauli error rates of every gate and measurement on a processor simultaneously from a small set of shallow Clifford circuits
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Randomized-measurement protocol that estimates the fidelity between quantum states prepared on two different devices using only classically communicated random unitaries and measurement outcomes
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Keysight True-Q diagnostic that reconstructs the probabilities of the individual Pauli errors afflicting a cycle of parallel gates, with multiplicative precision
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Estimates how close a lab state or gate is to its ideal pure target from a few importance-sampled Pauli measurements, sidestepping the exponential cost of full tomography.
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Calibration-free tomography that reconstructs every gate, state preparation, and measurement in a gate set simultaneously and self-consistently, yielding predictive error models rather than a single score.
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Verification protocol that interleaves a target circuit with randomized Clifford trap circuits to certify its outputs, bounding their variation distance from ideal at chosen confidence
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The textbook protocol for fully characterizing a quantum gate: apply it to an informationally complete set of input states, tomograph the outputs, and reconstruct the complete channel.
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The baseline characterization protocol: reconstructs the full density matrix of a prepared state from repeated measurements in an informationally complete set of bases.
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Heisenberg-limited calibration protocol that pins down individual gate rotation angles and axes from geometrically growing gate repetitions, with provable robustness to SPAM error.