Staff Profile

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. For more information about my work, please see my personal webpage http://nicholas-chancellor.me.

Please see my personal webpage for information on my research (including a CV with a full publication list, and all of my presentation slides): http://nicholas-chancellor.me.

I teach the second part of CSC2032, algorithm design and analysis. I have worked to make this course my own including adding new material related to simulated annealing at the end of the course. While my background is in quantum computing my lecturing duties all currently relate to classical algorithms, this is because there was not enough teaching on the quantum module to go around for all of the staff in quantum computing, and I had the most experience of the three of us in classical algorithms given my focus on hybrid quantum-classical computing so I offered to teach non-quantum subjects.

I also have some publicly available learning resources which may be of interest on my personal webpage, some online lectures on quantum annealing: http://nicholas-chancellor.me/outreach_teaching_docs.html which were made public as part of a grant I worked on before coming to Newcastle. There is also a programming exercise for getting a feeling of how simulations of quantum optimisation work: http://nicholas-chancellor.me/QOpt_project_final.pdf. Also I have worked on a video game to teach about quantum computing, see: https://www.quarksinteractive.com/.

• Articles

  • Rathore O, Basden A, Chancellor N, Kusumaatmaja H. Load balancing for high performance computing using quantum annealing. Physical review research 2025, 7(1), 013067.
  • Rathore O, Basden A, Chancellor N, Kusumaatmaja H. Integrating quantum algorithms into classical frameworks: a predictor–corrector approach using HHL. Quantum Science and Technology 2025, 10, 025041.
  • Bennett, J, Chancellor, N, Kendon, V, Lechner, W. Improving success probability in Lechner-Hauke-Zoller parity embedding by computing with quantum walks. Physical Review A 2025, 112, 042616. In Preparation.
  • Camino, B, Buckeridge, J, Chancellor, N, Catlow, CRA, Ferrari, AM, Warburton, PA, Sokol, AA, Woodley, SM. Exploring the thermodynamics of disordered materials with quantum computing. Science Advances 2025.
  • Mirkarimi, P, Shukla, I, Hoyle, D, Williams, R, Chancellor, N. Quantum optimization with linear Ising penalty functions for customer data science. 2025.
  • Mirkarimi P, Hoyle D, Williams R, Chancellor N. Experimental demonstration of improved quantum optimization with linear Ising penalties. New Journal of Physics 2024, 26, 103005.
  • Imparato A, Chancellor N, De Chiara G. A thermodynamic approach to optimization in complex quantum systems. Quantum Science and Technology 2024, 9(2), 025011.
  • Chancellor, N, Kissinger, A, Zohren, S, Roffe, J, Horsman, D. Graphical structures for design and verification of quantum error correction. Quantum Science and Technology 2023. In Preparation.
  • Chen, J, Stollenwerk, T, Chancellor, N. Performance of Domain-Wall Encoding for Quantum Annealing. IEEE Transactions in Quantum Engineering 2021.
  • Callison, A, Festenstein, M, Chen, J, Nita, L, Kendon, V, Chancellor, N. Energetic Perspective on Rapid Quenches in Quantum Annealing. PRX Quantum 2024, 2, 010338.

• Conference Proceedings (inc. Abstract)

  • Sinno S, Bertyl M, Sahoo A, Bhalgamiya B, Gross T, Chancellor N. Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing. In: International Conference on Next Generation Information System Engineering (NGISE). 2025, Ghaziabad, Delhi (NCR), India: IEEE.