tensorflow / tensorflow/quantum
Document how to configure different Backends with Cirq
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- Dominant language
- Python
- Stars
- 2.2k
- Forks
- 665
- PR merge metrics
- No merged PRs in 30d
Description
By default, TFQ uses qsim when executing circuits. There isn't any good examples that show how to use Cirq Sampler - which makes it difficult to use either the quantum computer or a simulators in Cirq.
Thoughts on different backends to configure include accessing actual hardware VS normal simulators VS noisy simulators.
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
Start by reviewing the existing Cirq Sampler usage and how TFQ currently executes circuits with qsim. Document examples for actual quantum hardware, standard simulators, and noisy simulators, making the configuration differences clear. Done means users can follow the documentation to select and configure each backend.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, quantum-computing
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100