sbovqaopt: Surrogate-based optimizer for variational quantum algorithms
The sbovqaopt
package provides a surrogate-based optimizer for variational quantum algorithms as introduced in arXiv:2204.05451.
Installation
The sbovqaopt
package distribution is hosted on PyPI and can be installed via pip
:
pip install sbovqaopt
Usage
For examples of using sbovqaopt
, see the example notebooks and unit tests.
Development
For development purposes, the package and its requirements can be installed by cloning the repository locally:
git clone https://github.com/sandialabs/sbovqaopt
cd sbovqaopt
pip install -r requirements.txt
pip install -e .
Citation
If you use or refer to this project in any publication, please cite the corresponding paper:
Ryan Shaffer, Lucas Kocia, Mohan Sarovar. Surrogate-based optimization for variational quantum algorithms. arXiv:2204.05451 (2022).