Skip to main content

matrix product representation library

Project description

[MPNUM]

A matrix product representation library for Python

[Travis] [Documentation Status]

This code is work in progress.

mpnum is a Python library providing flexible tools to implement new numerical schemes based on matrix product states (MPS). So far, we provide:

  • basic tools for various matrix product based representations, such as:

  • matrix product states (MPS), also known as tensor trains (TT)

  • matrix product operators (MPO)

  • local purification matrix product states (PMPS)

  • arbitrary matrix product arrays (MPA)

  • basic MPA operations: add, multiply, etc; compression (SVD and variational)

  • computing ground states (the smallest eigenvalue and eigenvector) of MPOs

  • flexible tools to implement new schemes based on matrix product representations

For more information, see:

  • Introduction to mpnum

  • Notebook with code examples

  • Library reference

Required packages:

  • six, numpy, scipy, sphinx (to build the documentation)

Supported Python versions:

  • 2.7, 3.3, 3.4, 3.5

Contributors

License

Distributed under the terms of the BSD 3-Clause License (see LICENSE).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mpnum-0.1.1.tar.gz (460.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page