Scalable and robust randomized benchmarking of quantum processes.

By Easwar Magesan, Jay M. Gambetta, Joseph Emerson. Physical Review Letters, 2010

739 citations recorded by the source corpus.

In this Letter we propose a fully scalable randomized benchmarking protocol for quantum information processors. We prove that the protocol provides an efficient and reliable estimate of the average error-rate for a set operations (gates) under a very general noise model that allows for both time and gate-dependent errors. In particular we obtain a sequence of fitting models for the observable fidelity decay as a function of a (convergent) perturbative expansion of the gate errors about the mean error. We illustrate the protocol through numerical examples.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/f4f72d944a2082d89d77e5c43df2ee9825d2e629

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In Atomic and Molecular Physics, and Optics

Citations in the corpus

Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers (2020, methodology): “rates, crosstalk exists between the two gates. Such measurements can be performed using Randomized Benchmarking (RB), a standard procedure for measuring gate error rates, which is used in IBM systems [29, 33, 34]. To measure the error rate, a single invocation of a gate is not enough. For CNOT error”
A Race-Track Trapped-Ion Quantum Processor (2023, methodology): “• 2Q gate randomized benchmarking (2Q RB): Similar to 1Q RB, we use the Clifford-twirl technique [47] for measuring the error of 2Q gates.”
High-Fidelity, Frequency-Flexible Two-Qubit Fluxonium Gates with a Transmon Coupler (2023, methodology): “After calibration, we benchmarked our single-qubit gates using standard single-qubit randomized benchmarking [12, 38].”
Ytterbium Nuclear-Spin Qubits in an Optical Tweezer Array (2021, methodology): “We characterize the fidelity of nuclear qubit rotations using Clifford randomized benchmarking (RB) [11, 64, 65].”
Realizing repeated quantum error correction in a distance-three surface code (2021, methodology): “We benchmark the performance of single- and twoqubit gate operations across the entire device using randomized benchmarking [64, 65] (single-qubit gates) and interleaved randomized benchmarking [66–68] (two-qubit gates), and display the resulting errors in Fig.”
Demonstration of quantum volume 64 on a superconducting quantum computing system (2020, background): “randomized benchmarking [43, 44] and gate set tomography [45, 46], QV was developed as a holistic system measure and hence is sensitive to SPAM-errors.”
Quantum certification and benchmarking (2019, background): “Originally, RB has been devised for Clifford gates [28, 31, 61, 62], but has later been extended to be applicable to other groups [7, 20, 27, 74].”
Leakage reduction in fast superconducting qubit gates via optimal control (2020, background): “[50] Magesan, E.”