• Open Access

Hidden Inverses: Coherent Error Cancellation at the Circuit Level

Bichen Zhang, Swarnadeep Majumder, Pak Hong Leung, Stephen Crain, Ye Wang, Chao Fang, Dripto M. Debroy, Jungsang Kim, and Kenneth R. Brown
Phys. Rev. Applied 17, 034074 – Published 30 March 2022

Abstract

Coherent gate errors are a concern in many proposed quantum-computing architectures. Here, we show that certain coherent errors can be reduced by a local optimization that chooses between two forms of the same Hermitian and unitary quantum gate. We refer to this method as hidden inverses, and it relies on constructing the same gate from either one sequence of physical operations or the inverted sequence of inverted operations. We use parity-controlled Z rotations as our model circuit and numerically show the utility of hidden inverses as a function of circuit width n. We experimentally demonstrate the effectiveness for n=2 and n=4 qubits in a trapped-ion quantum computer. We numerically compare the method to other gate-level compilations for reducing coherent errors.

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  • Received 11 April 2021
  • Revised 10 February 2022
  • Accepted 16 February 2022

DOI:https://doi.org/10.1103/PhysRevApplied.17.034074

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & Optical

Authors & Affiliations

Bichen Zhang1,2,*, Swarnadeep Majumder1,2, Pak Hong Leung1,3, Stephen Crain1,2,‡, Ye Wang1,2, Chao Fang1,2, Dripto M. Debroy1,3,§, Jungsang Kim1,2,3,4, and Kenneth R. Brown1,2,3,5,†

  • 1Duke Quantum Center, Duke University, Durham, North Carolina 27701, USA
  • 2Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA
  • 3Department of Physics, Duke University, Durham, North Carolina 27708, USA
  • 4IonQ, Inc., College Park, Maryland 20740, USA
  • 5Department of Chemistry, Duke University, Durham, North Carolina 27708, USA

  • *bichen.zhang@duke.edu
  • ken.brown@duke.edu
  • Present address: IonQ, Inc., College Park, Maryland 20740, USA.
  • §Present address: Google Research, Venice, California 90291, USA.

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Vol. 17, Iss. 3 — March 2022

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