Chris Ferrie of the UTS Centre for Quantum Software and Information revisits the reasons behind their significance.
IBM Q System One Quantum Computer. Image: Adobe Stock by AA+W
In the realm of materials science, quantum computers hold the potential to simulate molecular structures at the atomic level, promising expedited and simplified exploration of novel and compelling materials. This advancement is poised to have far-reaching implications in fields like batteries, pharmaceuticals, fertilizers, and other chemistry-driven domains.
Furthermore, quantum computers are set to revolutionize the acceleration of numerous intricate optimization problems, enabling us to identify optimal solutions more swiftly. This, in turn, will empower us to tackle larger-scale challenges across domains like logistics, finance, and weather forecasting.
Machine learning stands as yet another arena where quantum computers may usher in accelerated progress. This could manifest indirectly through the enhancement of subroutines in conventional digital computers or directly through the reimagination of quantum computers as potent learning machines.
Chris Ferrie, researcher at UTS Centre for Quantum Software and Information, revisits the reasons behind the significance of quantum computers.