🗃️ Add component "PyTeNet" from Issue #159 - #160
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DRovara
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Aug 12, 2026
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Thank you for adding the component, @cmendl. I'm sorry for the delay, but I finally managed to look at the PR. I just have one minor comment that would need fixing - probably the same thing applies to your other PR too. Thanks a lot!
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| **PyTeNet** is a didactic Python implementation of quantum tensor network operations and simulations | ||
| within the matrix product state framework. | ||
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| Features include matrix product state and operator classes, constructing common Hamiltonians as | ||
| MPOs, converting arbitrary operator chains to MPOs, TDVP time evolution, DMRG algorithm, and | ||
| built-in support for additive quantum numbers. |
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We typically only have single-paragraph summaries of a couple of lines, so it would likely be best to also apply that here for consistency reasons. One potential suggestion (but feel free to write up your own if you also want to include the features in more detail):
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| **PyTeNet** is a didactic Python implementation of quantum tensor network operations and simulations | |
| within the matrix product state framework. | |
| Features include matrix product state and operator classes, constructing common Hamiltonians as | |
| MPOs, converting arbitrary operator chains to MPOs, TDVP time evolution, DMRG algorithm, and | |
| built-in support for additive quantum numbers. | |
| A didactic Python implementation of quantum tensor network operations and simulations | |
| within the matrix product state framework. |
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Closes #159. This PR was automatically generated.
Summary: