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September 21, 2017 13:20
Implementation of block-wise diagonalization with conserving number of particles by Hamiltonian
Cluster pertrubation theory module for 1D and 2D square models
Documentation how to perform cluster pertrubation theory using pyed for 2D Hubbard model with nearest-neighbor hopping
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Dear Yaroslav, Thank you for the pull-request! 👍 I am happy to see that you found some of the things in Cheers, Hugo |
Cleaning up diagonalization
Symmetry selection: SU(2),Sz,U(1)
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I have implemented full sparse version of pyed library with block-wise diagonalization (taking into account conservation of number of the particles in the system by the Hamiltonian). All functions, responding to calculation of response function are rewritten. Also, I have added Anderson impurity model example with 5 bath sites to show how the sparse version of pyed library works.