DownloadOpen Source MPS (OSMPS) is a collection of numerical routines for performing tensor network algorithms to simulate entangled, 1D many-body quantum systems. Our applications reach from ground state and excited states for statics to the dynamics of time-dependent Hamiltonians. We offer various time evolution methods with an emphasis on the support of long-range interactions through the matrix product state formalism. For more algorithms, see the list of features below.
Please cite "M. L. Wall and L. D. Carr, New J. Phys. 14, 125015 (2012)" and "D. Jaschke, M. L. Wall, and L. D. Carr, Computer Physics Communications 225, 59–91 (2018)" if your publication involves OSMPS.
Features
- Variational ground state search with MPS
- Variational excited state search with eMPS
- Infinite size variational ground state search (iMPS)
- Time-evolving block decimation (TEBD)
- Time-dependent variational principle (TDVP)
- Krylov time evolution
- Local Runge-Kutta time evolution
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