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Published August 22, 2017 | Version v1.0
Software Open

tcompa/BoseHubbardGutzwiller v1.0

Creators

  • 1. CNR and Università di Trento

Description

This is a simple python/cython code implementing the homogeneous Gutzwiller variational wave function for the Bose-Hubbard model. The search for the optimal wave-function parameters is performed through Simulated Annealing, a Monte Carlo method for stochastic optimization.

Files

tcompa/BoseHubbardGutzwiller-v1.0.zip

Files (6.4 kB)

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Additional details

Related works

Is supplement to
https://github.com/tcompa/BoseHubbardGutzwiller/tree/v1.0 (URL)