This project aims to use GA to search for the best ansatz for some hybrid quantum-classical models such as VQA, Quantum state preparation, and Quantum state tomography.
The structure of this repository:
- codes: include .ipynb file (main code)
- experiments: hold the result after executing the program defined in the codes folder.
- test: include test cases for CI/CD
Dependencies:
- qoop: a self-development package which is developing in another repository
- qiskit: 0.45.0
This work has been accepted at Machine learning Science and Technology
Citing:
@article{10.1088/2632-2153/ad9705,
author={Vu, Tuan Hai and Nguyen, Tan Viet and Urbaneja, Jesus and Nguyen, Vu Linh and Nguyen Lan, Tran and Ho, Le Bin},
title={Multi-target quantum compilation algorithm},
journal={Machine Learning: Science and Technology},
url={http://iopscience.iop.org/article/10.1088/2632-2153/ad9705},
year={2024}}
}