Optimal Quantum Control Using Randomized Benchmarking

被引：172

作者：

Kelly, J. ^{[1
]}

Barends, R. ^{[1
]}

Campbell, B. ^{[1
]}

Chen, Y. ^{[1
]}

Chen, Z. ^{[1
]}

Chiaro, B. ^{[1
]}

Dunsworth, A. ^{[1
]}

Fowler, A. G. ^{[1
,2
]}

Hoi, I. -C. ^{[1
]}

Jeffrey, E. ^{[1
]}

Megrant, A. ^{[1
]}

Mutus, J. ^{[1
]}

Neill, C. ^{[1
]}

O'Malley, P. J. J. ^{[1
]}

Quintana, C. ^{[1
]}

Roushan, P. ^{[1
]}

Sank, D. ^{[1
]}

Vainsencher, A. ^{[1
]}

Wenner, J. ^{[1
]}

White, T. C. ^{[1
]}

Cleland, A. N. ^{[1
]}

Martinis, John M. ^{[1
]}

机构：

[1] Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA

[2] Univ Melbourne, Sch Phys, Ctr Quantum Computat & Commun Technol, Melbourne, Vic 3010, Australia

来源：

PHYSICAL REVIEW LETTERS | 2014年 / 112卷 / 24期

关键词：

D O I：

10.1103/PhysRevLett.112.240504

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：5

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