Randomized benchmarking for qudit Clifford gates

Mahnaz Jafarzadeh; Ya-Dong Wu; Yuval R. Sanders; Barry C. Sanders

doi:10.1088/1367-2630/ab8ab1

Randomized benchmarking for qudit Clifford gates

Mahnaz Jafarzadeh, Ya-Dong Wu, Yuval R. Sanders, Barry C. Sanders

ARC Centre of Excellence for Engineered Quantum Systems (EQuS)

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

64 Downloads (Pure)

Abstract

We introduce unitary-gate randomized benchmarking (URB) for qudit gates by extending single- and multi-qubit URB to single- and multi-qudit gates. Specifically, we develop a qudit URB procedure that exploits unitary 2-designs. Furthermore, we show that our URB procedure is not simply extracted from the multi-qubit case by equating qudit URB to URB of the symmetric multi-qubit subspace. Our qudit URB is elucidated by using pseudocode, which facilitates incorporating into benchmarking applications.

Original language	English
Article number	063014
Pages (from-to)	1-9
Number of pages	9
Journal	New Journal of Physics
Volume	22
Issue number	6
DOIs	https://doi.org/10.1088/1367-2630/ab8ab1
Publication status	Published - 1 Jun 2020

Bibliographical note

Copyright 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

quantum noise
qudit quantum information
randomized benchmarking

Access to Document

10.1088/1367-2630/ab8ab1Licence: CC BY

Publisher versionFinal published version, 1.45 MBLicence: CC BY

Cite this

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abstract = "We introduce unitary-gate randomized benchmarking (URB) for qudit gates by extending single- and multi-qubit URB to single- and multi-qudit gates. Specifically, we develop a qudit URB procedure that exploits unitary 2-designs. Furthermore, we show that our URB procedure is not simply extracted from the multi-qubit case by equating qudit URB to URB of the symmetric multi-qubit subspace. Our qudit URB is elucidated by using pseudocode, which facilitates incorporating into benchmarking applications. ",

keywords = "quantum noise, qudit quantum information, randomized benchmarking",

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note = "Copyright 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

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T1 - Randomized benchmarking for qudit Clifford gates

AU - Jafarzadeh, Mahnaz

AU - Wu, Ya-Dong

AU - Sanders, Yuval R.

AU - Sanders, Barry C.

N1 - Copyright 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2020/6/1

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N2 - We introduce unitary-gate randomized benchmarking (URB) for qudit gates by extending single- and multi-qubit URB to single- and multi-qudit gates. Specifically, we develop a qudit URB procedure that exploits unitary 2-designs. Furthermore, we show that our URB procedure is not simply extracted from the multi-qubit case by equating qudit URB to URB of the symmetric multi-qubit subspace. Our qudit URB is elucidated by using pseudocode, which facilitates incorporating into benchmarking applications.

AB - We introduce unitary-gate randomized benchmarking (URB) for qudit gates by extending single- and multi-qubit URB to single- and multi-qudit gates. Specifically, we develop a qudit URB procedure that exploits unitary 2-designs. Furthermore, we show that our URB procedure is not simply extracted from the multi-qubit case by equating qudit URB to URB of the symmetric multi-qubit subspace. Our qudit URB is elucidated by using pseudocode, which facilitates incorporating into benchmarking applications.

KW - quantum noise

KW - qudit quantum information

KW - randomized benchmarking

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UR - http://purl.org/au-research/grants/arc/DP190102633

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JF - New Journal of Physics

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ER -

Randomized benchmarking for qudit Clifford gates

Abstract

Bibliographical note

Keywords

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Quantum algorithms for quantum chemistry

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Randomized benchmarking for qudit Clifford gates

Abstract

Bibliographical note

Keywords

Access to Document

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Quantum algorithms for quantum chemistry

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