Quantum computing innovation to simulate quantum systems

This project aims to develop and optimise innovative quantum computing techniques for noisy intermediate-scale quantum (NISQ) devices to simulate small physical systems.
Institution: University of Liverpool

The project will begin by using existing noisy intermediate-scale quantum (NISQ) devices to simulate small physical systems, such as the lattice-regularized Wess–Zumino model — a supersymmetric quantum field theory that can exhibit spontaneous supersymmetry breaking. As part of this work, you will investigate the capabilities of a variety of NISQ devices, including systems based on binary qubits, d-state qudits, or continuous-variable qumodes, as well as the possibility of hybrid devices.

In the next stage the project will develop customized error mitigation techniques to optimize the performance of the most promising of these devices. In addition to maximizing the capabilities of existing devices, through this work the student may also contribute to the co-design of future quantum hardware. Depending on the progress of the technology, it may also be possible to incorporate simple quantum error correction into certain aspects of this work.

Student: John Kerfoot

Back to: Centre for Doctoral Training for Innovation in Data Intensive Science