UKRI Research Fellow, School of Physics and Astronomy, University of St Andrews
Renzo is a doctoral candidate at the University of St Andrews, United Kingdom.
Renzo possesses a diverse academic background, encompassing engineering, physics, and machine learning.
His research endeavors primarily focus on the engineering of wave functions for Bose-Einstein condensates and the design of optical potentials for applications such as sensing and atomtronics. The ability to design and realize a wide range of optical potentials serves as an enabling technology for the field of matter waves.
Additionally, Renzo is actively engaged in the study of number theory problems in conjunction with quantum mechanics. Numerous significant and unresolved problems and conjectures in number theory can be approached using models derived from quantum mechanics, while quantum systems can provide a platform for efficiently executing mathematical operations. For instance, the problem of prime factorization has been efficiently solved by P. Schor through his polynomial-time algorithm. However, the development of a robust general-purpose quantum computer is still far to come, posing challenges to its implementation. Alternative approaches that involve embedding mathematical operations into physical quantum systems can also prove effective for addressing this problem.
Renzo’s scientific work is part of the scientific activity performed by the MAWI network, while his funding is supported entirely by UKRI – UK Research and Innovation.
Publications:
Testa, R., Rodriguez Garcia, A., d’Onofrio, A. et al. Increasing the quantum tunneling probability through a learned ancilla-assisted protocol. Quantum Mach. Intell. 7, 79