PyTeNet: A concise Python implementation of quantum tensor network algorithms

Python Submitted 14 September 2018Published 16 October 2018
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Editor: @jedbrown (all papers)
Reviewers: @mlxd (all reviews), @jcmgray (all reviews)

Authors

Christian B. Mendl (0000-0002-6386-0230)

Citation

Mendl, (2018). PyTeNet: A concise Python implementation of quantum tensor network algorithms. Journal of Open Source Software, 3(30), 948, https://doi.org/10.21105/joss.00948

@article{Mendl2018, doi = {10.21105/joss.00948}, url = {https://doi.org/10.21105/joss.00948}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {30}, pages = {948}, author = {Christian B. Mendl}, title = {PyTeNet: A concise Python implementation of quantum tensor network algorithms}, journal = {Journal of Open Source Software} }
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quantum mechanics and simulation DMRG / matrix product state framework quantum tensor networks TDVP time evolution computational physics

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ISSN 2475-9066