QuSO - Quantum Simulation-Based Optimization of a Cooling System

This repository contains the implementation of the Quantum Simulation-Based Optimization (QuSO) algorithm for finding the optimal cooling system. Details about the particular problem and the implementation can be found in the paper: https://arxiv.org/abs/2504.15460

More Information

We have implemented QuSO in PennyLane and Classiq. This repository only contains the PennyLane code. Check out the Classiq code here: http://short.classiq.io/cooling_systems_optimization

If you are interested in the differences or the particular strengths of both quantum software frameworks, check out the notebook in the "comparison" folder.

Folder Structure

• comparison: contains a brief comparison between PennyLane and Classiq.
• experiments: contains the numerical experiments presented in the paper.
• OpenModelica: contains the scripts to validate our linear system with OpenModelica simulations.
• full_algorithm: contains the implementation of the entire QuSO algorithm.
• tutorial_notebooks: contains the jupyter notebooks used in the tutorial at QCE24 TUT24 (https://qce.quantum.ieee.org/2024/program/tutorials-abstracts/)

Requirements

• numpy
• scipy
• matplotlib
• pennylane
• pennylane-lightning
• pyqsp