Multiple classical noise mitigation by multiobjective robust quantum optimal control

Shao, Bowen1; Yang, Xiaodong2; Liu, Ran2; Zhai, Yue1; Lu, Dawei1,3; Xin, Tao1,3; Li, Jun2

2024-03-20

10.1103/PhysRevApplied.21.034042

PHYSICAL REVIEW APPLIED   影响因子和分区

2331-7019

High -quality control is a fundamental requirement for quantum computation, but practically it is often hampered by the presence of various types of noises, which can be static or time dependent. In many realistic scenarios, multiple noise sources coexist, and their resulting noise effects need to be corrected to a sufficient order, posing significant challenges for the design of effective robust control methods. Here, we explore the method of robust quantum optimal control to generally tackle the problem of resisting multiple noises from a complicated noise environment. Specifically, we confine our analysis to classical stochastic noises that can be described by classical noise models. This method employs a gradient -based multiobjective optimization algorithm to maximize the control figure of merit, and meanwhile to minimize the perturbative effects of the noises that are allowed for. To verify its effectiveness, we apply this method to a number of examples, including robust entangling gate in a trapped -ion system and robust controlledZ gate in superconducting qubits, under commonly encountered static and time -dependent noises. Our simulation results reveal that robust optimal control can find smooth, robust pulses that can simultaneously resist several noises and thus achieve high-fidelity gates. Therefore, we expect that this method will find wide applications on current noisy quantum computing devices.

SCI ; EI

英语

第一

National Natural Science Foundation of China["1212200199","11975117","12004165","12275117","92065111","12204230"] ; Guangdong Basic and Applied Basic Research Foundation["2021B1515020070","2022B1515020074"] ; Guangdong Provincial Key Laboratory[2019B121203002] ; Shenzhen Science and Technology Program["KQTD20200820113010023","RCBS2020071411 4820298","RCYX20200714114522109"]

Physics

Physics, Applied

WOS:001195873200002

AMER PHYSICAL SOC

Web of Science

1.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China
2.Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
3.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen 518055, Peoples R China

Shao, Bowen,Yang, Xiaodong,Liu, Ran,et al. Multiple classical noise mitigation by multiobjective robust quantum optimal control[J]. PHYSICAL REVIEW APPLIED,2024,21(3).

Shao, Bowen.,Yang, Xiaodong.,Liu, Ran.,Zhai, Yue.,Lu, Dawei.,...&Li, Jun.(2024).Multiple classical noise mitigation by multiobjective robust quantum optimal control.PHYSICAL REVIEW APPLIED,21(3).

Shao, Bowen,et al."Multiple classical noise mitigation by multiobjective robust quantum optimal control".PHYSICAL REVIEW APPLIED 21.3(2024).