Abstract
A new approach to the solution of sign problems in Monte-Carlo methods, based on cluster algorithms, has emerged recently. The underlying idea is to identify clusters that help match configurations of equal weight but opposite signs and hence do not contribute to the path integral. Avoiding these clusters, called merons, alleviates the sign problem and in certain cases solves it completely. Among the variety of problems that can be solved using these techniques there also exist some severe fermion sign problems. A pedagogical discussion of the above ideas is presented here with an emphasis on applications to fermionic systems.
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Chandrasekharan, S., Osborn, J. (2001). Solving Sign Problems with Meron Algorithms. In: Landau, D.P., Lewis, S.P., Schüttler, HB. (eds) Computer Simulation Studies in Condensed-Matter Physics XIII. Springer Proceedings in Physics, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56577-9_4
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DOI: https://doi.org/10.1007/978-3-642-56577-9_4
Publisher Name: Springer, Berlin, Heidelberg
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