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Showing content from https://github.com/qiboteam/boostvqe below:

qiboteam/boostvqe: Using DBI to boost VQE optimization

The package can be installed by source after cloning the repository:

cd boostvqe
pip install .

The file src/boostvqe/boost.py performs boosted VQE training.

The source code is located in ./src/boostvqe/. and its composed of:

• ansatze.py: contains circuit used by VQE
• utils.py: contains utils function used by main.py
• plotscripts.py: plotting functions.
• compiling_XXZ.py: compilation for XXZ model.

It follows a python snippet explaining how to run the boosting

from boostvqe.boost import dbqa_vqe
from boostvqe.ansatze import hdw_efficient

from qibo_dbqa.double_bracket import DoubleBracketGeneratorType

circuit = hdw_efficient(nqubits=2, nlayers=3)
output_folder = "output"
dbqa_vqe(
    circuit=circuit,
    output_folder=output_folder,
    mode = DoubleBracketGeneratorType.group_commutator,
    optimizer="BFGS",
    optimizer_options={"maxiter": 3},
    dbr_duration=0.1,
)

All the info regarding dbqa_vqe can be generated with help(dbqa_vqe).

Some useful notebooks to understand how the library works, are collected here.

For more details about this project and citations, please refer to the article.

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