Add support for compressed double factorization

PennyLaneAI / pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

https://pennylane.ai

Apache License 2.0

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Add support for compressed double factorization #6611

Closed obliviateandsurrender closed 3 hours ago

obliviateandsurrender commented 1 week ago

Context: This adds a compressed-based double factorization routine with optional regularization.

Description of the Change: A compressed kwarg has been added to the pennylane.qchem.factorize function along with support for adding some compression-based kwargs.

Benefits: We have a more tunable and scalable method for obtaining double factorization.

Possible Drawbacks: N/A

Related GitHub Issues: [sc-72646]

github-actions[bot] commented 1 week ago

Hello. You may have forgotten to update the changelog! Please edit doc/releases/changelog-dev.md with:

A one-to-two sentence description of the change. You may include a small working example for new features.
A link back to this PR.
Your name (or GitHub username) in the contributors section.

codecov[bot] commented 1 week ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 99.65%. Comparing base (afb7e54) to head (9fb7ae7). Report is 1 commits behind head on master.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #6611 +/- ## ======================================= Coverage 99.65% 99.65% ======================================= Files 455 455 Lines 42936 42993 +57 ======================================= + Hits 42787 42844 +57 Misses 149 149 ```

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