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Suppressing Coherent Two-Qubit Errors via Dynamical Decoupling by Qiu, Jiawei; Zhou, Yuxuan; Hu, Chang-Kang; Yuan, Jiahao; Zhang, Libo; Chu, Ji; Huang, Wenhui; Liu, Weiyang; Luo, Kai; Ni, Zhongchu; Pan, Xianchuang; Yang, Zhixuan; Zhang, Yimeng; Chen, Yuanzhen; Deng, Xiu-Hao; Hu, Ling; Li, Jian; Niu, Jingjing; Xu, Yuan; Yan, Tongxing; Zhong, Youpeng; Liu, Song; Yan, Fei; Yu, Dapeng is a scholarly article available to read on EtoBox.

What is Suppressing Coherent Two-Qubit Errors via Dynamical Decoupling about?

Scalable quantum information processing requires the ability to tune multi-qubit interactions. This makes the precise manipulation of quantum states particularly difficult for multi-qubit interactions because tunability unavoidably introduces sensitivity to fluctuations in the tuned parameters, leading to erroneous multi-qubit gate operations. The performance of quantum algorithms may be severely compromised by coherent multi-qubit errors. It is therefore imperative to understand how these fluctuations affect multi-qubit interactions and, more importantly, to mitigate their influence. In this study, we demonstrate how to implement dynamical-decoupling techniques to suppress the two-qubit analogue of the dephasing on a superconducting quantum device featuring a compact tunable coupler, a trending technology that enables the fast manipulation of qubit--qubit interactions. The pure-dephasing time shows an up to ~14 times enhancement on average when using robust sequences. The results are in good agreement with the noise generated from room-temperature circuits. Our study further reveals the decohering processes associated with tunable couplers and establishes a framework to develop ga

Author

Qiu, Jiawei; Zhou, Yuxuan; Hu, Chang-Kang; Yuan, Jiahao; Zhang, Libo; Chu, Ji; Huang, Wenhui; Liu, Weiyang; Luo, Kai; Ni, Zhongchu; Pan, Xianchuang; Yang, Zhixuan; Zhang, Yimeng; Chen, Yuanzhen; Deng, Xiu-Hao; Hu, Ling; Li, Jian; Niu, Jingjing; Xu, Yuan; Yan, Tongxing; Zhong, Youpeng; Liu, Song; Yan, Fei; Yu, Dapeng

Published

2021

Language

EN