Deploying quantum optimization on neutral atom hardware for vehicle routing problem

In this project, our intern will explore advanced quantum computing techniques to tackle the Vehicle Routing Problem (VRP), a complex challenge that involves finding the most efficient routes for vehicles to deliver goods. They will work with cutting-edge neutral-atom quantum computing platforms, which offer significant advantages in solving such problems. By developing and implementing quantum machine learning algorithms, our intern aims to improve the way we optimize routes, potentially saving time, energy, and resources. This research could benefit the partner organization by enhancing their logistics and transportation systems, leading to more effective and sustainable operations.

Faculty Supervisor:

Roger Melko

Student:

Partner:

ForeQast Technologies Limited

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program: