Project description

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.

The sbovqaopt package distribution is hosted on PyPI and can be installed via pip:

pip install sbovqaopt

For examples of using sbovqaopt, see the example notebooks and unit tests.

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 .

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).

These details have not been verified by PyPI

This version

0.1.0

Sep 8, 2022

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