Applications of Quantum Monte Carlo Sampling

In today’s quantum computing environment, access to all major hardware providers is entirely cloud-based. As a result, large enterprises and other privacy-sensitive users are limited in their ability to experiment with quantum computers. Many have simply chosen to forego experimentation with quantum computers altogether. A careful application of recent research is vital to address this need via the development, testing, and deployment of security solutions designed for today’s quantum computers. This project is aimed at researching industry-specific quantum algorithms and recent academic breakthroughs for the purpose of developing task-specific, user friendly security tools that can be deployed in a real-world setting. A special focus will be given to finance applications. The project may result in scientific publications.

Faculty Supervisor:

Henry Yuen

Student:

Cara Alexander

Partner:

AgnostiQ Labs

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto