Learning the dynamics of open quantum systems from their steady states

被引:35
|
作者
Bairey, Eyal [1 ]
Guo, Chu [2 ]
Poletti, Dario [3 ,4 ]
Lindner, Netanel H. [1 ]
Arad, Itai [1 ]
机构
[1] Technion, Dept Phys, IL-3200003 Haifa, Israel
[2] SFT, QI Lab, Guangzhou 511340, Peoples R China
[3] Singapore Univ Technol & Design, Sci & Math Cluster, 8 Somapah Rd, Singapore 487372, Singapore
[4] Singapore Univ Technol & Design, EPD Pillar, 8 Somapah Rd, Singapore 487372, Singapore
来源
NEW JOURNAL OF PHYSICS | 2020年 / 22卷 / 03期
基金
欧洲研究理事会; 以色列科学基金会;
关键词
quantum information; condensed matter physics; dissipative quantum dynamics; Lindblad dynamics; noise characterization; quantum benchmarking; SUPERCONDUCTING CIRCUITS; SIMULATIONS; INFORMATION; ATOMS;
D O I
10.1088/1367-2630/ab73cd
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Recent works have shown that generic local Hamiltonians can be efficiently inferred from local measurements performed on their eigenstates or thermal states. Realistic quantum systems are often affected by dissipation and decoherence due to coupling to an external environment. This raises the question whether the steady states of such open quantum systems contain sufficient information allowing for full and efficient reconstruction of the system's dynamics. We find that such a reconstruction is possible for generic local Markovian dynamics. We propose a recovery method that uses only local measurements; for systems with finite-range interactions, the method recovers the Lindbladian acting on each spatial domain using only observables within that domain. We numerically study the accuracy of the reconstruction as a function of the number of measurements, type of open-system dynamics and system size. Interestingly, we show that couplings to external environments can in fact facilitate the reconstruction of Hamiltonians composed of commuting terms.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Variational Quantum Algorithms for the Steady States of Open Quantum Systems
    刘环宇
    孙太平
    吴玉椿
    郭国平
    [J]. Chinese Physics Letters, 2021, 38 (08) : 16 - 21
  • [2] Variational Quantum Algorithms for the Steady States of Open Quantum Systems
    Liu, Huan-Yu
    Sun, Tai-Ping
    Wu, Yu-Chun
    Guo, Guo-Ping
    [J]. CHINESE PHYSICS LETTERS, 2021, 38 (08)
  • [3] Response theory for nonequilibrium steady states of open quantum systems
    Levy, Amikam
    Rabani, Eran
    Limmer, David T.
    [J]. PHYSICAL REVIEW RESEARCH, 2021, 3 (02):
  • [4] Attraction domain analysis for steady states of Markovian open quantum systems
    Zhang, Shikun
    Zhang, Guofeng
    [J]. AUTOMATICA, 2023, 157
  • [5] Quantum group approach to steady states of boundary-driven open quantum systems
    Ilievski, Enej
    Zunkovic, Bojan
    [J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2014,
  • [6] Learning Network Dynamics from Noisy Steady States
    Ding, Yanna
    Gao, Jianxi
    Magdon-Ismail, Malik
    [J]. PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023, 2023, : 46 - 50
  • [7] Transitional steady states of exchange dynamics between finite quantum systems
    Jeon, Euijin
    Yi, Juyeon
    Kim, Yong Woon
    [J]. PHYSICAL REVIEW E, 2016, 94 (02)
  • [8] Signatures of many-body localization in steady states of open quantum systems
    Vakulchyk, I.
    Yusipov, I.
    Ivanchenko, M.
    Flach, S.
    Denisov, S.
    [J]. PHYSICAL REVIEW B, 2018, 98 (02)
  • [9] Variational Neural-Network Ansatz for Steady States in Open Quantum Systems
    Vicentini, Filippo
    Biella, Alberto
    Regnault, Nicolas
    Ciuti, Cristiano
    [J]. PHYSICAL REVIEW LETTERS, 2019, 122 (25)
  • [10] Periodically driven open quantum systems: Spectral properties and nonequilibrium steady states
    Chen, Hao
    Hu, Yu-Min
    Zhang, Wucheng
    Kurniawan, Michael Alexander
    Shao, Yuelin
    Chen, Xueqi
    Prem, Abhinav
    Dai, Xi
    [J]. PHYSICAL REVIEW B, 2024, 109 (18)