Time-evolving Weiss fields in the stochastic approach to quantum spins

被引：2
|
作者：
Begg, S. E. [1 ]
Green, A. G. [2 ]
Bhaseen, M. J. [1 ]
机构：
[1] Kings Coll London, Dept Phys, London WC2R 2LS, England
[2] UCL, London Ctr Nanotechnol, Gordon St, London WC1H 0AH, England
来源：
PHYSICAL REVIEW B | 2021年 / 104卷 / 02期
基金：
英国工程与自然科学研究理事会;
关键词：
DYNAMICS;
D O I：
10.1103/PhysRevB.104.024408
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We investigate nonequilibrium quantum spin systems via an exact mapping to stochastic differential equations. This description is invariant under a shift in the mean of the Gaussian noise. We show that one can extend the simulation time for real-time dynamics in one and two dimensions by a judicious choice of this shift. This can be updated dynamically in order to reduce the impact of stochastic fluctuations. We discuss the connection to drift gauges in the gauge-P literature.
引用
收藏
页数：9
相关论文
共 50 条
  • [31] Probabilistic clustering of time-evolving distance data
    Vogt, Julia E.
    Kloft, Marius
    Stark, Stefan
    Raman, Sudhir S.
    Prabhakaran, Sandhya
    Roth, Volker
    Raetsch, Gunnar
    MACHINE LEARNING, 2015, 100 (2-3) : 635 - 654
  • [32] Holistic Prediction on a Time-Evolving Attributed Graph
    Yamasaki, Shohei
    Sasaki, Yuya
    Karras, Panagiotis
    Onizuka, Makoto
    PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2023): LONG PAPERS, VOL 1, 2023, : 13676 - 13694
  • [33] A tutorial on time-evolving dynamical Bayesian inference
    Tomislav Stankovski
    Andrea Duggento
    Peter V. E. McClintock
    Aneta Stefanovska
    The European Physical Journal Special Topics, 2014, 223 : 2685 - 2703
  • [34] Predicting Path Failure In Time-Evolving Graphs
    Li, Jia
    Han, Zhichao
    Cheng, Hong
    Su, Jiao
    Wang, Pengyun
    Zhang, Jianfeng
    Pan, Lujia
    KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 1279 - 1289
  • [35] Time-evolving matrix product operator method and its applications in open quantum system
    Chen Ruo-Fan
    ACTA PHYSICA SINICA, 2023, 72 (12)
  • [36] Exact Computation of Velocity Field and Probability Flux of Time-Evolving Probability Landscape of Stochastic Networks
    Terebus, Anna
    Liu, Chun
    Liang, Jie
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 316A - 316A
  • [37] Efficient Centrality Monitoring for Time-Evolving Graphs
    Fujiwara, Yasuhiro
    Onizuka, Makoto
    Kitsuregawa, Masaru
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011, 2011, 6635 : 38 - 50
  • [38] Comparison of access methods for time-evolving data
    Salzberg, B
    Tsotras, VJ
    ACM COMPUTING SURVEYS, 1999, 31 (02) : 158 - 221
  • [39] A tutorial on time-evolving dynamical Bayesian inference
    Stankovski, Tomislav
    Duggento, Andrea
    McClintock, Peter V. E.
    Stefanovska, Aneta
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2014, 223 (13): : 2685 - 2703
  • [40] Probabilistic clustering of time-evolving distance data
    Julia E. Vogt
    Marius Kloft
    Stefan Stark
    Sudhir S. Raman
    Sandhya Prabhakaran
    Volker Roth
    Gunnar Rätsch
    Machine Learning, 2015, 100 : 635 - 654
12345