期刊
NATURE COMMUNICATIONS
卷 10, 期 -, 页码 -出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-019-13068-7
关键词
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资金
- Austrian Science Fund (FWF), through the SFB Fo-QuS [F4002-N16]
- Institut fur Quante-ninformation GmbH
- Austrian Research Promotion Agency (FFG) [872766]
- Office of the Director of National Intelligence (ODNI)
- Intelligence Advanced Research Projects Activity (IARPA) through the Army Research Office [W911NF-16-1-0070]
- U.S. A.R.O. [W911NF-14-1-0103]
- CIFAR
- Government of Ontario
- Government of Canada through CFREF
- NSERC
- TQT
- Industry Canada
Quantum computers promise to solve certain problems more efficiently than their digital counterparts. A major challenge towards practically useful quantum computing is characterizing and reducing the various errors that accumulate during an algorithm running on large-scale processors. Current characterization techniques are unable to adequately account for the exponentially large set of potential errors, including cross-talk and other correlated noise sources. Here we develop cycle benchmarking, a rigorous and practically scalable protocol for characterizing local and global errors across multi-qubit quantum processors. We experimentally demonstrate its practicality by quantifying such errors in non-entangling and entangling operations on an ion-trap quantum computer with up to 10 qubits, and total process fidelities for multi-qubit entangling gates ranging from 99.6(1)% for 2 qubits to 86(2)% for 10 qubits. Furthermore, cycle benchmarking data validates that the error rate per single-qubit gate and per two-qubit coupling does not increase with increasing system size.
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