tensorflow / tensorflow/quantum
Provide functionality for working with quantum data
Open
Nobody has claimed this yet.
area/core
priority/after-0.7.7
skill-level/expert
- Dominant language
- Python
- Stars
- 2.2k
- Forks
- 665
- PR merge metrics
- No merged PRs in 30d
Description
Another area of functionality where we could develop TensorFlow Quantum is to provide more built-in support for working with quantum data. This would make it possible for researchers to more easily work on topics such as learning from quantum data, quantum sensing, etc
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
The issue does not identify any files, tests, or entry points. Start by surveying the TensorFlow Quantum APIs and existing quantum-data examples, then clarify which research workflow and built-in functionality are in scope before implementation; completion criteria are not defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning, quantum-computing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100