Error rate reduction of single-qubit gates via noise-aware decomposition into native gates

In the current era of Noisy Intermediate-Scale Quantum (NISQ) technology, the practical use of quantum computers remains inhibited by our inability to aptly decouple qubits from their environment to mitigate computational errors. In this paper, we introduce an approach by which knowledge of a qubit’...

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Bibliographic Details
Published in:Scientific reports Vol. 12; no. 1; pp. 6379 - 10
Main Authors: Maldonado, Thomas J., Flick, Johannes, Krastanov, Stefan, Galda, Alexey
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 16.04.2022
Nature Publishing Group
Nature Portfolio
Subjects:
639/705/258
639/766/25
639/766/259
639/766/483/1139
639/766/483/2802
639/766/483/481
applied physics
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Computer applications
Computers
Decomposition
Gates
Humanities and Social Sciences
information technology
information theory and computation
multidisciplinary
Noise
Noise levels
quantum information
quantum mechanics
qubits
Science
Science (multidisciplinary)
ISSN:2045-2322, 2045-2322
Online Access:Get full text
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Summary:In the current era of Noisy Intermediate-Scale Quantum (NISQ) technology, the practical use of quantum computers remains inhibited by our inability to aptly decouple qubits from their environment to mitigate computational errors. In this paper, we introduce an approach by which knowledge of a qubit’s initial quantum state and the standard parameters describing its decoherence can be leveraged to mitigate the noise present during the execution of a single-qubit gate. We benchmark our protocol using cloud-based access to IBM quantum processors. On ibmq_rome, we demonstrate a reduction of the single-qubit error rate by 38%, from 1.6 × 10 - 3 to 1.0 × 10 - 3 , provided the initial state of the input qubit is known. On ibmq_bogota, we prove that our protocol will never decrease gate fidelity, provided the system’s T 1 and T 2 times have not drifted above 100 times their assumed values. The protocol can be used to reduce quantum state preparation errors, as well as to improve the fidelity of quantum circuits for which some knowledge of the qubits’ intermediate states can be inferred. This paper presents a pathway to using information about noise levels and quantum state distributions to significantly reduce error rates associated with quantum gates via optimized decomposition into native hardware gates.
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AC02-06CH11357
USDOE
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-10339-0