Talus - A quantum Monte Carlo modelling suite

被引:0
|
作者
Stedman, ML [1 ]
Foulkes, WMC [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Blackett Lab, London SW7 2BZ, England
关键词
Monte Carlo; quantum Monte Carlo; variational Monte Carlo; diffusion Monte Carlo; variance minimisation; atoms;
D O I
10.1016/S0010-4655(98)00087-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present the Talus Quantum Monte Carlo modelling suite of programs. The suite provides an extensible environment for the study of a diverse range of physical systems with several QMC algorithms. The overriding concern behind the design of the suite has been to enable new algorithms and, in particular, new systems to be studied with minimal implementation and testing overhead. To this end, we have designed the Monte Carlo and measurement functions to be independent of the actual wavefunction. We describe the main algorithms used, discuss the unusual features of the suite's implementation, and provide results for a simple test calculation. (C) 1998 Published by Elsevier Science B.V.
引用
收藏
页码:180 / 198
页数:19
相关论文
共 50 条
  • [31] Meta-variational quantum Monte Carlo
    Zhao, Tianchen
    Stokes, James
    Veerapaneni, Shravan
    QUANTUM MACHINE INTELLIGENCE, 2023, 5 (01)
  • [32] Quantum advantage of Monte Carlo option pricing
    Udvarnoki, Zoltan
    Fath, Gabor
    Fogarasi, Norbert
    JOURNAL OF PHYSICS COMMUNICATIONS, 2023, 7 (05):
  • [33] Using perturbatively selected configuration interaction in quantum Monte Carlo calculations
    Giner, Emmanuel
    Scemama, Anthony
    Caffarel, Michel
    CANADIAN JOURNAL OF CHEMISTRY, 2013, 91 (09) : 879 - 885
  • [34] Optimization of Quantum Monte Carlo Wave Function:. Steepest Descent Method
    Foulaadvand, M. Ebrahim
    Zarenia, Mohammad
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2010, 21 (04): : 523 - 533
  • [35] User subjectivity in Monte Carlo modelling of pesticide exposure
    Trevisan, Marco
    UNCERTAINTIES IN ENVIRONMENTAL MODELLING AND CONSEQUENCES FOR POLICY MAKING, 2009, : 155 - 181
  • [36] Improved Monte Carlo clinical electron beam modelling
    Sachse, K. N.
    du Plessis, F. C. P.
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2019, 66 : 36 - 44
  • [37] Monte Carlo in the mechanistic modelling of the FLASH effect: a review
    Pikes, Gavin
    Dass, Joshua
    Gill, Suki
    Ebert, Martin
    Reynolds, Mark
    Rowshanfarzad, Pejman
    PHYSICS IN MEDICINE AND BIOLOGY, 2025, 70 (02):
  • [38] STATIONARY PHASE MONTE-CARLO METHODS - INTERFERENCE EFFECTS IN QUANTUM MONTE-CARLO DYNAMICS
    DOLL, JD
    RICK, SW
    FREEMAN, DL
    CANADIAN JOURNAL OF CHEMISTRY-REVUE CANADIENNE DE CHIMIE, 1992, 70 (02): : 497 - 505
  • [39] Bridging the gap between quantum Monte Carlo and F12-methods
    Chinnamsetty, Sambasiva Rao
    Luo, Hongjun
    Hackbusch, Wolfgang
    Flad, Heinz-Juergen
    Uschmajew, Andre
    CHEMICAL PHYSICS, 2012, 401 : 36 - 44
  • [40] QWalk: A quantum Monte Carlo program for electronic structure
    Wagner, Lucas K.
    Bajdich, Michal
    Mitas, Lubos
    JOURNAL OF COMPUTATIONAL PHYSICS, 2009, 228 (09) : 3390 - 3404