tensorflow / tensorflow/quantum
Arbitrary Input State Capabilities
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- Dominant language
- Python
- Stars
- 2.2k
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Description
Are there functionalities in TFQ that allow one to specify an arbitrary input state in the 2^N Hilbert space? I understand that one could in principle make a circuit to prepare such a state, but in the case where, for example, the input state comes from solving the ground state of a many-body Hamiltonian, this might be very expensive to do, and it would be useful to be able to have an interface directly specifying this as a state vector/density matrix.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue does not name files, tests, or entry points. Start by reviewing existing TFQ interfaces for input states, then determine whether arbitrary state vectors and density matrices are supported; done requires a decided interface for specifying both forms or a documented conclusion that the request is out of scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- api
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100