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Averaged circuit eigenvalue sampling

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arxiv 2108.05803 v1 pith:5KEDGHNU submitted 2021-08-12 quant-ph

Averaged circuit eigenvalue sampling

classification quant-ph
keywords acesquantumerrorcircuitsaveragedcircuiteigenvalueestimates
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce ACES, a method for scalable noise metrology of quantum circuits that stands for Averaged Circuit Eigenvalue Sampling. It simultaneously estimates the individual error rates of all the gates in collections of quantum circuits, and can even account for space and time correlations between these gates. ACES strictly generalizes randomized benchmarking (RB), interleaved RB, simultaneous RB, and several other related techniques. However, ACES provides much more information and provably works under strictly weaker assumptions than these techniques. Finally, ACES is extremely scalable: we demonstrate with numerical simulations that it simultaneously and precisely estimates all the Pauli error rates on every gate and measurement in a 100 qubit quantum device using fewer than 20 relatively shallow Clifford circuits and an experimentally feasible number of samples. By learning the detailed gate errors for large quantum devices, ACES opens new possibilities for error mitigation, bespoke quantum error correcting codes and decoders, customized compilers, and more.

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Cited by 3 Pith papers

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