Digital quantum simulation of dynamical topological invariants on near-term quantum computers

被引:1
|
作者
Chang, Huai-Chun [1 ]
Hsu, Hsiu-Chuan [2 ,3 ]
机构
[1] Natl Chengchi Univ, Dept Math Sci, Taipei 11605, Taiwan
[2] Natl Chengchi Univ, Grad Inst Appl Phys, Taipei 11605, Taiwan
[3] Natl Chengchi Univ, Dept Comp Sci, Taipei 11605, Taiwan
关键词
Quantum simulation; Berry phase; Topological insulator;
D O I
10.1007/s11128-021-03362-z
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Programmable quantum processors are suitable platforms for simulating quantum systems, of which topological phases are of particular interest. We simulate the quench dynamics of a one-dimensional system on IBM Q devices. The topological properties of the dynamics are described by the dynamical topological invariants, the dynamical winding number, and the time-dependent Berry phase, which are simulated with the quantum circuit model. The results show that despite the noise present in the current quantum computers, the dynamical topological invariants are robust. Moreover, to investigate the influence of open quantum system, we analytically solve the master equation in Lindblad form and show that the dynamical winding number and the change in Berry phase are not affected by the dissipation. This study sheds light on the robustness of topological phases on the noisy intermediate-scale quantum computers.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Towards solving the BCS Hamiltonian gap in near-term quantum computers
    Sa, Nahum
    Oliveira, Ivan S.
    Roditi, Itzhak
    RESULTS IN PHYSICS, 2023, 44
  • [32] Perturbative readout-error mitigation for near-term quantum computers
    Peters, Evan
    Li, Andy C. Y.
    Perdue, Gabriel N.
    PHYSICAL REVIEW A, 2023, 107 (06)
  • [33] Capturing non-Markovian dynamics on near-term quantum computers
    Head-Marsden, Kade
    Krastanov, Stefan
    Mazziotti, David A.
    Narang, Prineha
    PHYSICAL REVIEW RESEARCH, 2021, 3 (01):
  • [34] Strategies for solving the Fermi-Hubbard model on near-term quantum computers
    Cade, Chris
    Mineh, Lana
    Montanaro, Ashley
    Stanisic, Stasja
    PHYSICAL REVIEW B, 2020, 102 (23)
  • [35] Generative machine learning with tensor networks: Benchmarks on near-term quantum computers
    Wall, Michael L.
    Abernathy, Matthew R.
    Quiroz, Gregory
    PHYSICAL REVIEW RESEARCH, 2021, 3 (02):
  • [36] Nonunitary Operations for Ground-State Calculations in Near-Term Quantum Computers
    Mazzola, Guglielmo
    Ollitrault, Pauline J.
    Barkoutsos, Panagiotis Kl
    Tavernelli, Ivano
    PHYSICAL REVIEW LETTERS, 2019, 123 (13)
  • [37] Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers
    Murali, Prakash
    Debroy, Dripto M.
    Brown, Kenneth R.
    Martonosi, Margaret
    COMMUNICATIONS OF THE ACM, 2022, 65 (03) : 101 - 109
  • [38] Special Session: Noise Characterization and Error Mitigation in Near-Term Quantum Computers
    Wood, Christopher J.
    2020 IEEE 38TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2020), 2020, : 13 - 16
  • [39] Distributed quantum computation for near-term quantum environments
    Gyongyosi, L.
    Imre, S.
    QUANTUM INFORMATION SCIENCE, SENSING, AND COMPUTATION XIII, 2021, 11726
  • [40] Large-scale simulations of Floquet physics on near-term quantum computers
    Eckstein, Timo
    Mansuroglu, Refik
    Czarnik, Piotr
    Zhu, Jian-Xin
    Hartmann, Michael J.
    Cincio, Lukasz
    Sornborger, Andrew T.
    Holmes, Zoe
    NPJ QUANTUM INFORMATION, 2024, 10 (01)