Open 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
Follow Matrix Product State (MPS) Simulations
Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Rate This Project
Login To Rate This Project User Reviews
- MPS tools are very helpful to me...Excellent...Thanks to "dJaeschke, lincolncarr, matjones, mlwall"