Add tools to build a tensor network code
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- Dominant language
- Python
- Stars
- 255
- Forks
- 38
- Avg merge
- 11h 19m
- Merged PRs (30d)
- 9
Description
Some considerations:
Maybe use quimb to represent the tensor network?Or maybe just a networkx multigraph.Maybe include an einsum-like API?Let's think about this in a separate PR
There are three types of contractions to consider: physical-physical, physical-logical, and logical-logical. In the case of PL and LL contractions, logical operators can be "inherited" from the original codes that are contracted together. Is inheriting logical operators possible for PP contractions? Is there something similar that makes sense to do in this case?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the issue discussion, including the proposed quimb or networkx representations and the three contraction types. Clarify the scope and the intended treatment of inherited logical operators, especially for physical-physical contractions; no files or tests are named, and completion criteria are not yet defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100