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A framework for randomized benchmarking over compact groups

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arxiv 2111.10357 v1 pith:IDX6WIVZ submitted 2021-11-19 quant-ph

classification quant-ph
keywords benchmarkingframeworkgatequantumgatesrandomizedcontinuouserror
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Characterization of experimental systems is an essential step in developing and improving quantum hardware. A collection of protocols known as Randomized Benchmarking (RB) was developed in the past decade, which provides an efficient way to measure error rates in quantum systems. In a recent paper (arxiv:2010.07974), a general framework for RB was proposed, which encompassed most of the known RB protocols and overcame the limitation on error models in previous works. However, even this general framework has a restriction: it can only be applied to a finite group of gates. This does not meet the need posed by experiments, in particular the demand for benchmarking non-Clifford gates and continuous gate sets on quantum devices. In this work we generalize the RB framework to continuous groups of gates and show that as long as the noise level is reasonably small, the output can be approximated as a linear combination of matrix exponential decays. As an application, we numerically study the fully randomized benchmarking protocol (i.e. RB with the entire unitary group as the gate set) enabled by our proof. This provides a unified way to estimate the gate fidelity for any quantum gate in an experiment.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Randomized Benchmarking with Synthetic Quantum Circuits

    quant-ph 2024-12 unverdicted novelty 6.0 of 10

    A framework using synthetic circuits improves randomized benchmarking sample efficiency for reducible representations, showing over 100x advantage for SU(2)-symmetric high-spin systems versus character RB.

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