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Matrix Product State (MPS) Simulations

Numerical routines for variational matrix product state simulations.

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Open Source MPS (OSMPS) is a collection of numerical routines for performing variational matrix product state (MPS) simulations. At present, OSMPS employs variational ground state and excited state search (eMPS) algorithms to find ground states and low-lying excited states of 1D Hamiltonians on finite lattices. Unitary dynamics of general time-dependent 1D Hamiltonians are simulated with a novel Krylov-based time-evolution algorithm (tMPS). OSMPS supports the use of long-range Hamiltonians both for statics and dynamics through the matrix product operator formalism. Finally, OSMPS implements the infinite size variational ground state search algorithm using MPSs, iMPS, to find the ground state of general 1D Hamiltonians on an infinite lattice assuming a periodically repeating unit cell of user-specified length.

Please cite "M.L Wall and L. D. Carr, New J. Phys. 14, 125015 (2012)" if your publication involves openMPS until a forthcoming paper on this library is published.

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