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TeNPy

  • Openness:3 ★★★
  • Document quality:2 ★★☆

TeNPy is a Python library which enables simulations of strongly correlated quantum systems using tensor networks. The package aims to balance both the readability and usability for beginners with algorithmic power and fast development for experts. One can use mainly MPS algorithms such as DMRG on 1D and 2D systems and simulations of dynamics using TEBD.

Information
Last Update:2025/11/10

Official site

https://tenpy.readthedocs.io/en/latest/

License

Apache License Version 2.0
https://tenpy.readthedocs.io/en/latest/install/license.html#license

Availability

Python>=3.6 on Mac, Windows, Linux, Ubuntu
Core Developers

https://tenpy.readthedocs.io/en/latest/install/license.html#tenpy-developer-team
Target substance/model

strongly correlated quantum systems
Physical quantities that can be computed

wave function, entanglement entropy, correlation length, correlation function
Methodology

Tensor network method
MPS
Density matrix renormalization group (DMRG)
TEBD
Parallelization

OpenMP parallelization
Related keywords
Document J. Hauschild and F. Pollman, SciPost Phys. Lect. Notes 5 (2018).

J. Hauschild et al. SciPost Phys. Codebases 41 (2024).

 
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