This research develops a quantum transducer, a device that connects quantum computers to fiber optic networks. By converting quantum electrical signals into optical signals at cryogenic temperatures, the technology could enable scalable quantum networking and distributed quantum computing, providing a critical foundation for future large-scale quantum systems and quantum internet infrastructure.

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.