This repository contains the data and code associated with the paper: https://arxiv.org/abs/2401.09421.
The project relies on the following libraries: numpy, autograd, qibo, qiskit, torch, tensorflow, tensorly-quantum, MQLib (installation might be challenging), networkx, sqlite, gradient_free_optimizers, scipy, and hypermapper.
A working example of the code can be found in the example.ipynb file, which includes a brief explanations for the various flags used. Note that if you are using a gradient-based optimizer, you might need to modify the numpy import to autograd.numpy within the base code of qibo.
The experiment folder contains all experimental data along with the corresponding data analysis.
The code is convoluted and not optimized. If you encounter any issues or have questions, please don't hesitate to reach out for assistance