tensorflow / tensorflow/quantum
How do you define multiqubit noise channels and noisy training?
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Description
Hi there,
Sorry for the noob question.
Is is possible to define multi qubit noise channels and use tfq to do noisy training?
My work flow is similar to that of the tutorials with noise, but instead I'm trying to define the channel
cirq.asymmetric_depolarize(error_probabilities={'XX': 0.1})
This throws errors which vanish upon removing this channel.
Thanks!
Max
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 reproducing the noisy-training tutorial workflow with TensorFlow Quantum and the Cirq asymmetric_depolarize channel using the reported XX error probability. Compare the behavior with and without that channel, then determine whether multi-qubit channels are supported; done means the error or supported usage is clearly documented and verified.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100