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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).

Release History

Release History

0.2.1

This version

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0.2

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0.1.2

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0.1.1

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0.1

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Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mpnum-0.2.1.tar.gz (488.4 kB) Copy SHA256 Checksum SHA256 Source Oct 20, 2016

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