Leakage Benchmarking for Universal Gate Sets

Errors are common issues in quantum computing platforms, among which leakage is one of the most-challenging to address. This is because leakage, i.e., the loss of information stored in the computational subspace to undesired subspaces in a larger Hilbert space, is more difficult to detect and correc...

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Main Authors: Bujiao Wu, Xiaoyang Wang, Xiao Yuan, Cupjin Huang, Jianxin Chen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/26/1/71
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author Bujiao Wu
Xiaoyang Wang
Xiao Yuan
Cupjin Huang
Jianxin Chen
author_facet Bujiao Wu
Xiaoyang Wang
Xiao Yuan
Cupjin Huang
Jianxin Chen
author_sort Bujiao Wu
collection DOAJ
description Errors are common issues in quantum computing platforms, among which leakage is one of the most-challenging to address. This is because leakage, i.e., the loss of information stored in the computational subspace to undesired subspaces in a larger Hilbert space, is more difficult to detect and correct than errors that preserve the computational subspace. As a result, leakage presents a significant obstacle to the development of fault-tolerant quantum computation. In this paper, we propose an efficient and accurate benchmarking framework called <i>leakage randomized benchmarking</i> (LRB), for measuring leakage rates on multi-qubit quantum systems. Our approach is more insensitive to state preparation and measurement (SPAM) noise than existing leakage benchmarking protocols, requires fewer assumptions about the gate set itself, and can be used to benchmark multi-qubit leakages, which has not been achieved previously. We also extended the LRB protocol to an interleaved variant called interleaved LRB (iLRB), which can benchmark the average leakage rate of generic <i>n</i>-site quantum gates with reasonable noise assumptions. We demonstrate the iLRB protocol on benchmarking generic two-qubit gates realized using flux tuning and analyzed the behavior of iLRB under corresponding leakage models. Our numerical experiments showed good agreement with the theoretical estimations, indicating the feasibility of both the LRB and iLRB protocols.
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spelling doaj.art-b1e24dd78f1d43e393dad560ab93654d2024-01-26T16:23:13ZengMDPI AGEntropy1099-43002024-01-012617110.3390/e26010071Leakage Benchmarking for Universal Gate SetsBujiao Wu0Xiaoyang Wang1Xiao Yuan2Cupjin Huang3Jianxin Chen4Center on Frontiers of Computing Studies, Peking University, Beijing 100871, ChinaCenter on Frontiers of Computing Studies, Peking University, Beijing 100871, ChinaCenter on Frontiers of Computing Studies, Peking University, Beijing 100871, ChinaAlibaba Quantum Laboratory, Alibaba Group USA, Bellevue, WA 98004, USAAlibaba Quantum Laboratory, Alibaba Group USA, Bellevue, WA 98004, USAErrors are common issues in quantum computing platforms, among which leakage is one of the most-challenging to address. This is because leakage, i.e., the loss of information stored in the computational subspace to undesired subspaces in a larger Hilbert space, is more difficult to detect and correct than errors that preserve the computational subspace. As a result, leakage presents a significant obstacle to the development of fault-tolerant quantum computation. In this paper, we propose an efficient and accurate benchmarking framework called <i>leakage randomized benchmarking</i> (LRB), for measuring leakage rates on multi-qubit quantum systems. Our approach is more insensitive to state preparation and measurement (SPAM) noise than existing leakage benchmarking protocols, requires fewer assumptions about the gate set itself, and can be used to benchmark multi-qubit leakages, which has not been achieved previously. We also extended the LRB protocol to an interleaved variant called interleaved LRB (iLRB), which can benchmark the average leakage rate of generic <i>n</i>-site quantum gates with reasonable noise assumptions. We demonstrate the iLRB protocol on benchmarking generic two-qubit gates realized using flux tuning and analyzed the behavior of iLRB under corresponding leakage models. Our numerical experiments showed good agreement with the theoretical estimations, indicating the feasibility of both the LRB and iLRB protocols.https://www.mdpi.com/1099-4300/26/1/71quantum computingrandomized benchmarkingleakage errorquantum gates
spellingShingle Bujiao Wu
Xiaoyang Wang
Xiao Yuan
Cupjin Huang
Jianxin Chen
Leakage Benchmarking for Universal Gate Sets
Entropy
quantum computing
randomized benchmarking
leakage error
quantum gates
title Leakage Benchmarking for Universal Gate Sets
title_full Leakage Benchmarking for Universal Gate Sets
title_fullStr Leakage Benchmarking for Universal Gate Sets
title_full_unstemmed Leakage Benchmarking for Universal Gate Sets
title_short Leakage Benchmarking for Universal Gate Sets
title_sort leakage benchmarking for universal gate sets
topic quantum computing
randomized benchmarking
leakage error
quantum gates
url https://www.mdpi.com/1099-4300/26/1/71
work_keys_str_mv AT bujiaowu leakagebenchmarkingforuniversalgatesets
AT xiaoyangwang leakagebenchmarkingforuniversalgatesets
AT xiaoyuan leakagebenchmarkingforuniversalgatesets
AT cupjinhuang leakagebenchmarkingforuniversalgatesets
AT jianxinchen leakagebenchmarkingforuniversalgatesets