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- Title
Characterizing large-scale quantum computers via cycle benchmarking.
- Authors
Erhard, Alexander; Wallman, Joel J.; Postler, Lukas; Meth, Michael; Stricker, Roman; Martinez, Esteban A.; Schindler, Philipp; Monz, Thomas; Emerson, Joseph; Blatt, Rainer
- Abstract
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. Checking the quality of operations of quantum computers in a reliable and scalable way is still an open challenge. Here, the authors show how to characterise multi-qubit operations in a way that scales favourably with the system's size, and demonstrate it on a 10-qubit ion-trap device.
- Subjects
QUANTUM computers; QUANTUM computing; COMPUTER algorithms; NOISE generators (Electronics); QUBITS
- Publication
Nature Communications, 2019, Vol 10, Issue 1, pN.PAG
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-019-13068-7