Qubit readout error mitigation with bit-flip averaging
File(s)
Published version
OA Location
Author(s)
Smith, Alistair WR
Khosla, Kiran E
Self, Chris N
Kim, MS
Type
Journal Article
Abstract
Quantum computers are becoming increasingly accessible, and may soon
outperform classical computers for useful tasks. However, qubit readout errors
remain a significant hurdle to running quantum algorithms on current devices.
We present a scheme to more efficiently mitigate these errors on quantum
hardware and numerically show that our method consistently gives advantage over
previous mitigation schemes. Our scheme removes biases in the readout errors
allowing a general error model to be built with far fewer calibration
measurements. Specifically, for reading out $n$-qubits we show a factor of
$2^n$ reduction in the number of calibration measurements without sacrificing
the ability to compensate for correlated errors. Our approach can be combined
with, and simplify, other mitigation methods allowing tractable mitigation even
for large numbers of qubits.
outperform classical computers for useful tasks. However, qubit readout errors
remain a significant hurdle to running quantum algorithms on current devices.
We present a scheme to more efficiently mitigate these errors on quantum
hardware and numerically show that our method consistently gives advantage over
previous mitigation schemes. Our scheme removes biases in the readout errors
allowing a general error model to be built with far fewer calibration
measurements. Specifically, for reading out $n$-qubits we show a factor of
$2^n$ reduction in the number of calibration measurements without sacrificing
the ability to compensate for correlated errors. Our approach can be combined
with, and simplify, other mitigation methods allowing tractable mitigation even
for large numbers of qubits.
Date Issued
2021-11-17
Date Acceptance
2021-09-24
Citation
Science Advances, 2021, 7 (47), pp.1-10
ISSN
2375-2548
Publisher
American Association for the Advancement of Science
Start Page
1
End Page
10
Journal / Book Title
Science Advances
Volume
7
Issue
47
Copyright Statement
© 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
License URL
Sponsor
Engineering & Physical Science Research Council (E
Identifier
http://arxiv.org/abs/2106.05800v1
Grant Number
EP/T001062/1
Subjects
quant-ph
quant-ph
Publication Status
Published
Date Publish Online
2021-11-17