CAFQA
(Re-)Implementation of an interface for the Variational Quantum Eigensolver and the CAFQA scheme (original code: https://github.com/rgokulsm/CAFQA).
CAFQA is a special case of VQE where the ansatz is built of Clifford gates only and the optimization is therefore performed over a discrete set. This implementation uses Stim for fast Clifford circuit simulation and HyperMapper for Bayesian Optimization over the discrete search space.
Full list of dependencies (pip install ...):
- numpy
- qiskit
- qiskit[optimize]
- qiskit[nature]
- stim
- scikit-quant
- hypermapper
- pyscf
1 maintainer
Metadata
1 maintainer
Release files for cafqa 0.1.0
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Source distribution (sdist)
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| cafqa-0.1.0.tar.gz | 10.8 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cafqa-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.0 kB
Release files / cafqa-0.1.0.tar.gz
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Release files / cafqa-0.1.0-py3-none-any.whl
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| Size | 11.2 kB |
| Tags | Python 3 |
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