Nick Chancellor

About

I am a lecturer in the School of Computing and do research related to quantum computing. I do independent consulting related to quantum computing the other 50% of my time. I teach the second part of CSC2032, algorithm design and analysis.

Selected publications

• Load balancing for high performance computing using quantum annealing
• Integrating quantum algorithms into classical frameworks: a predictor–corrector approach using HHL
• Improving success probability in Lechner-Hauke-Zoller parity embedding by computing with quantum walks
• Exploring the thermodynamics of disordered materials with quantum computing
• Quantum optimization with linear Ising penalty functions for customer data science
• Experimental demonstration of improved quantum optimization with linear Ising penalties
• A thermodynamic approach to optimization in complex quantum systems
• Graphical structures for design and verification of quantum error correction
• Performance of Domain-Wall Encoding for Quantum Annealing
• Energetic Perspective on Rapid Quenches in Quantum Annealing