请输入您要查询的百科知识:

 

词条 Auxiliary-field Monte Carlo
释义

  1. Reweighting procedure and numerical sign problem

  2. See also

  3. References

  4. Implementations

  5. External links

{{One source|date=September 2010}}

Auxiliary-field Monte Carlo is a method that allows the calculation, by use of Monte Carlo techniques, of averages of operators in many-body quantum mechanical (Blankenbecler 1981, Ceperley 1977) or classical problems (Baeurle 2004, Baeurle 2003, Baeurle 2002a).

Reweighting procedure and numerical sign problem

The distinctive ingredient of "auxiliary-field Monte Carlo" is the fact that the interactions are decoupled by means of the application of the Hubbard–Stratonovich transformation, which permits the reformulation of many-body theory in terms of a scalar auxiliary-field representation. This reduces the many-body problem to the calculation of a sum or integral over all possible auxiliary-field configurations. In this sense, there is a trade-off: instead of dealing with one very complicated many-body problem, one faces the calculation of an infinite number of simple external-field problems.

It is here, as in other related methods, that Monte Carlo enters the game in the guise of importance sampling: the large sum over auxiliary-field configurations is performed by sampling over the most important ones, with a certain probability. In classical statistical physics, this probability is usually given by the (positive semi-definite) Boltzmann factor. Similar factors arise also in quantum field theories; however, these can have indefinite sign (especially in the case of Fermions) or even be complex-valued, which precludes their direct interpretation as probabilities. In these cases, one has to resort to a reweighting procedure (i.e., interpret the absolute value as probability and multiply the sign or phase to the observable) to get a strictly positive reference distribution suitable for Monte Carlo sampling. However, it is well known that, in specific parameter ranges of the model under consideration, the oscillatory nature of the weight function can lead to a bad statistical convergence of the numerical integration procedure. The problem is known as the numerical sign problem and can be alleviated with analytical and numerical convergence acceleration procedures (Baeurle 2002, Baeurle 2003a).

See also

  • Quantum Monte Carlo
{{No footnotes|date=November 2010}}

References

  • {{Cite journal

|last = Blankenbecler
|first = R. |author2=Scalapino, D. J. |author3=Sugar, R. L.
|title = Monte Carlo calculations of coupled boson-fermion systems. I
|year = 1981
|journal = Physical Review D
|volume = 24
|issue = 8
|page = 2278
|doi = 10.1103/PhysRevD.24.2278|bibcode = 1981PhRvD..24.2278B }}
  • {{Cite journal

|last = Ceperley
|first = D. |author2=Chester, G.V. |author3=Kalos, M.H.
|title = Monte Carlo simulation of a many-fermion study
|journal = Physical Review B
|volume = 16
|pages = 3081
|year = 1977
|doi = 10.1103/PhysRevB.16.3081|bibcode = 1977PhRvB..16.3081C
|issue = 7 }}
  • {{Cite journal

|last = Baeurle
|first = S.A.
|title = Grand canonical auxiliary field Monte Carlo: a new technique for simulating open systems at high density
|journal = Comput. Phys. Commun.
|volume = 157
|pages = 201
|year = 2004
|doi = 10.1016/j.comphy.2003.11.001|bibcode = 2004CoPhC.157..201B
|issue = 3 }}
  • {{Cite journal

|last = Baeurle
|first = S.A.
|title = Computation within the auxiliary field approach
|journal = J. Comput. Phys.
|volume = 184
|pages = 540
|year = 2003
|doi = 10.1016/S0021-9991(02)00036-0
|bibcode=2003JCoPh.184..540B
|issue = 2}}
  • {{Cite journal

|last = Baeurle
|first = S.A.
|author2= Martonak, R.|author3= Parrinello, M.
|title = A field-theoretical approach to simulation in the classical canonical and grand canonical ensemble
|journal = J. Chem. Phys.
|volume = 117
|pages = 3027
|year = 2002a
|doi = 10.1063/1.1488587|bibcode = 2002JChPh.117.3027B
|issue = 7 }}
  • {{Cite journal

|last = Baeurle
|first = S.A.
|title = Method of Gaussian Equivalent Representation: A New Technique for Reducing the Sign Problem of Functional Integral Methods
|journal = Phys. Rev. Lett.
|volume = 89
|page = 080602
|year = 2002
|doi = 10.1103/PhysRevLett.89.080602
|pmid = 12190451
|issue = 8
|bibcode=2002PhRvL..89h0602B}}
  • {{Cite journal

|last = Baeurle
|first = S.A.
|title = The stationary phase auxiliary field Monte Carlo method: a new strategy for reducing the sign problem of auxiliary field methodologies
|journal = Comput. Phys. Commun.
|volume = 154
|pages = 111
|year = 2003a
|doi = 10.1016/S0010-4655(03)00284-4
|bibcode=2003CoPhC.154..111B
|issue = 2}}
  • {{Cite journal

|last = Baer
|first = R. |author2=Head-Gordon, M. |author3=Neuhauser, D.
|title = Shifted-contour auxiliary field Monte Carlo for ab initio electronic structure: Straddling the sign problem
|journal = Journal of Chemical Physics
|volume = 109
|pages = 6219
|year = 1998
|issue = 15
|doi = 10.1063/1.477300
|bibcode=1998JChPh.109.6219B}}

Implementations

  • [https://alf.physik.uni-wuerzburg.de ALF]
  • QUEST

External links

  • [https://archive.is/20130708123512/http://homepages-nw.uni-regensburg.de/~bas16706/index.html Theory and Computation of Advanced Materials and Sensors Group]
{{DEFAULTSORT:Auxiliary Field Monte Carlo}}

3 : Quantum mechanics|Monte Carlo methods|Quantum Monte Carlo

随便看

 

开放百科全书收录14589846条英语、德语、日语等多语种百科知识,基本涵盖了大多数领域的百科知识,是一部内容自由、开放的电子版国际百科全书。

 

Copyright © 2023 OENC.NET All Rights Reserved
京ICP备2021023879号 更新时间:2024/11/14 2:19:14