This research searches for dark matter, which makes up most of the universe’s mass, by detecting ultralight particles using sensitive quantum sensors. By scanning frequencies like a radio and minimizing noise at cryogenic temperatures, the experiment aims to identify faint signals, bringing scientists closer to understanding the fundamental composition of the universe.

This research addresses the challenge of building stable quantum computers by modelling superconducting qubits. It develops simulation tools to predict behaviour, optimise design, and reduce errors caused by environmental disturbances. By improving qubit reliability, the work supports scalable quantum computing capable of solving complex problems beyond classical computational limits.