qiskit-gcode-path-optimization

First place, CWRU Quantum Computing Club Hackathon, Fall 2022.

Objective

Use a combination of quantum and classical optimization techniques to produce optimal G-Code paths for modern laser cutters.

Methodology

1. Use an off-the-shelf library to generate G-Code from the SVG
2. Replace the one small part of the library that approximates a solution to TSP with something that interfaces with a quantum computer
   • Generate a complete weighted graph with NetworkX
   • Use Qiskit's algorithms module to convert the graph to a quadratic unconstrained binary optimization problem
   • Use a variational quantum eigensolver to solve the QUBO
3. Use the result of the optimization problem to construct faster G-Code paths.