Suppressing Coherent Two-Qubit Errors via Dynamical Decoupling
Jiawei Qiu, Yuxuan Zhou, Chang-Kang Hu, Jiahao Yuan, Libo Zhang, Ji, Chu, Wenhui Huang, Weiyang Liu, Kai Luo, Zhongchu Ni, Xianchuang Pan, Zhixuan, Yang, Yimeng Zhang, Yuanzhen Chen, Xiu-Hao Deng, Ling Hu, Jian Li, Jingjing, Niu, Yuan Xu, Tongxing Yan, Youpeng Zhong, Song Liu

TL;DR
This paper demonstrates the use of dynamical decoupling techniques to significantly suppress two-qubit dephasing errors in superconducting quantum devices, improving coherence times and robustness of multi-qubit gates.
Contribution
It introduces a framework for mitigating two-qubit errors using dynamical decoupling on tunable couplers in superconducting qubits, advancing quantum gate fidelity.
Findings
Pure-dephasing time increased by up to 14 times with robust sequences.
Results align with noise models from room-temperature circuits.
Framework for developing error-robust gates and sequences established.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
