Calibrating quantum gates up to 52 qubits in a superconducting processor

Abstract Benchmarking large-scale quantum gates, typically involving multiple native two-qubit and single-qubit gates, is crucial in quantum computing. Global fidelity, encompassing information about inter-gate correlations, offers a comprehensive metric for evaluating and optimizing gate performance, unlike the fidelities of individual local native gates. In this work, utilizing the character-average benchmarking protocol implementable in a shallow circuit, we successfully benchmark gate fidelities up to 52 qubits. Notably, we achieved a fidelity of 63.09% ± 0.23% for a 44-qubit parallel CZ gate. Utilizing the global fidelity of the parallel CZ gate, we explore the correlations among local CZ gates by introducing an inter-gate correlation metric, enabling one to simultaneously quantify crosstalk error when benchmarking gate fidelity. Finally, we apply our methods in gate optimization. By leveraging global fidelity for optimization, we enhance the fidelity of a 6-qubit parallel CZ gate from 87.65% to 92.04% and decrease the gate correlation from 3.53% to 3.22%, compared to local gate fidelity-based optimization. The experimental results align well with our established composite noise model, incorporating depolarizing and Z Z -coupling noises, and provide valuable insight into further study and mitigation of correlated noise.

Authors

Institutions

Publication Details

Journal
npj Quantum Information
Published
2025-02-26
DOI
https://doi.org/10.1038/s41534-025-00983-5
Citations
4
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
9.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calibrating quantum gates up to 52 qubits in a superconducting processor

Cheng-Zhi Peng, Guoding Liu, Fusheng Chen, Xiaobo Zhu et al.
4 citations
npj Quantum Information
Quantum Computing Algorithms and Architecture
9.92
article

Calibrating quantum gates up to 52 qubits in a superconducting processor

Cheng-Zhi Peng, Guoding Liu, Fusheng Chen, Xiaobo Zhu, Jian-Wei Pan, Ming Gong, Chong Ying, Huiqiu Deng, Xiongfeng Ma, Yangsen Ye, Daojin Fan, Chen Zha, Yiming Zhang, Yulin Wu, Gang Wu, Shaowei Li, Qingling Zhu, Shaojun Guo, Sirui Cao, Dachao Wu, Haoran Qian
article en
4 citations

Abstract

Abstract Benchmarking large-scale quantum gates, typically involving multiple native two-qubit and single-qubit gates, is crucial in quantum computing. Global fidelity, encompassing information about inter-gate correlations, offers a comprehensive metric for evaluating and optimizing gate performance, unlike the fidelities of individual local native gates. In this work, utilizing the character-average benchmarking protocol implementable in a shallow circuit, we successfully benchmark gate fidelities up to 52 qubits. Notably, we achieved a fidelity of 63.09% ± 0.23% for a 44-qubit parallel CZ gate. Utilizing the global fidelity of the parallel CZ gate, we explore the correlations among local CZ gates by introducing an inter-gate correlation metric, enabling one to simultaneously quantify crosstalk error when benchmarking gate fidelity. Finally, we apply our methods in gate optimization. By leveraging global fidelity for optimization, we enhance the fidelity of a 6-qubit parallel CZ gate from 87.65% to 92.04% and decrease the gate correlation from 3.53% to 3.22%, compared to local gate fidelity-based optimization. The experimental results align well with our established composite noise model, incorporating depolarizing and Z Z -coupling noises, and provide valuable insight into further study and mitigation of correlated noise.

npj Quantum InformationVol. 11(1)
University of Science and Technology of China (CN), Hefei National Center for Physical Sciences at Nanoscale (CN), Jinan Institute of Quantum Technology (CN), Shanghai Institute of Technology (CN), Tsinghua University (CN)
Openalex Percentile: Top 3%
Quantum Computing Algorithms and Architecture
9.92
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.