tensorflow / tensorflow/quantum
Enable channels in fidelity op
Open
Nobody has claimed this yet.
area/core
help wanted
kind/feature-request
skill-level/intermediate
- Dominant language
- Python
- Stars
- 2.2k
- Forks
- 665
- PR merge metrics
- No merged PRs in 30d
Description
Currently using channels (noise or reset, either way non-unitary) is not supported in the fidelity operation. Perhaps the fidelity could be modified or a "noisy fidelity" could be added which approximates it. This was discussed in the 8/19/2021 TFQ meeting.
Contributor guide
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
No files, tests, or entry points are named in the issue. Start by locating the fidelity operation and its handling of noise and reset channels, then review the existing fidelity tests and the 8/19/2021 TFQ meeting discussion; done means establishing a decided approach for supporting or approximating non-unitary channels with corresponding tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100