2014/03/01 by J. Kelly, R. Barends, B. Campbell +25 · 253 citations
Computer Science · Engineering · Physics and Astronomy · #Benchmarking #Computer science #Crosstalk #Electronic engineering #Engineering #Optics #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum and electron transport phenomena #Quantum computer #Quantum gate #Quantum mechanics #Qubit #cond-mat.mes-hall #cond-mat.supr-con #quant-ph
paper · pdf · doi:10.1103/physrevlett.112.240504
published in Physical Review Letters 112(24), 240504 (American Physical Society) · 7 pages, 7 figures including supplementary
arxiv created 2014/03/01 · openalex publication_date 2014/06/20 · arxiv updated 2014/06/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
We present a method for optimizing quantum control in experimental systems, using a subset of randomized benchmarking measurements to rapidly infer error. This is demonstrated to improve single- and two-qubit gates, minimize gate bleedthrough, where a gate mechanism can cause errors on subsequent gates, and identify control crosstalk in superconducting qubits. This method is able to correct parameters so that control errors no longer dominate and is suitable for automated and closed-loop optimization of experimental systems.