Dr Nicholas Chancellor's Outputs (4)

Quantum optimization with linear Ising penalty functions for customer data science (2024)
Journal Article
Mirkarimi, P., Shukla, I., Hoyle, D. C., Williams, R., & Chancellor, N. (2024). Quantum optimization with linear Ising penalty functions for customer data science. Physical Review Research, 6(4), Article 043241. https://doi.org/10.1103/physrevresearch.6.043241

Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA). In these quantum algorithms, constraints... Read More about Quantum optimization with linear Ising penalty functions for customer data science.

Experimental demonstration of improved quantum optimization with linear Ising penalties (2024)
Journal Article
Mirkarimi, P., Hoyle, D. C., Williams, R., & Chancellor, N. (2024). Experimental demonstration of improved quantum optimization with linear Ising penalties. New Journal of Physics, 26(10), Article 103005. https://doi.org/10.1088/1367-2630/ad7e4a

The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which can be detrimental to the performance of a quantum optimizer. In quantu... Read More about Experimental demonstration of improved quantum optimization with linear Ising penalties.

Cycle discrete-time quantum walks on a noisy quantum computer (2024)
Journal Article
Wadhia, V., Chancellor, N., & Kendon, V. (2024). Cycle discrete-time quantum walks on a noisy quantum computer. The European Physical Journal D, 78(3), Article 29. https://doi.org/10.1140/epjd/s10053-023-00795-2

The rapid development of quantum computing has led to increasing interest in quantum algorithms for a variety of different applications. Quantum walks have also experienced a surge in interest due to their potential use in quantum algorithms. Using t... Read More about Cycle discrete-time quantum walks on a noisy quantum computer.

A thermodynamic approach to optimization in complex quantum systems (2024)
Journal Article
Imparato, A., Chancellor, N., & De Chiara, G. (2024). A thermodynamic approach to optimization in complex quantum systems. Quantum Science and Technology, 9(2), Article 025011. https://doi.org/10.1088/2058-9565/ad26b3

We consider the problem of finding the energy minimum of a complex quantum Hamiltonian by employing a non-Markovian bath prepared in a low energy state. The energy minimization problem is thus turned into a thermodynamic cooling protocol in which we... Read More about A thermodynamic approach to optimization in complex quantum systems.