Adding noise models to delay pragma
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- Python
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Description
I would like to be able to get the delay pragma to work with pyQuil with noise models. For example if I have a T1 noise model and I have increasingly long delays I'd like to append noise models that depend on the delays such that I can use the QVM to correctly simulate the behavior.
To be explicit, it would be nice to be able to run the T1 or T2 experiments in forest-benchmarking on the QVM, see e.g. https://github.com/rigetti/forest-benchmarking/blob/master/examples/qubit_spectroscopy_t1.ipynb .
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 reading the delay pragma behavior in pyQuil and the referenced forest-benchmarking example, examples/qubit_spectroscopy_t1.ipynb. Determine how T1 and T2 experiments should attach delay-dependent noise models when run on the QVM. Done means those experiments can simulate increasingly long delays with the intended noise effects.
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Assessment
- Tech stack
- python
- Domain
- quantum-computing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100