Our laboratory investigates fundamental quantum phenomena and develops novel applications across multiple disciplines.
We develop novel quantum algorithms that provide computational advantages over classical approaches for specific problems. Our research spans quantum machine learning, optimization, simulation, and error correction.
Our interdisciplinary team explores fundamental and applied aspects of quantum science.
Investigating quantum algorithms for machine learning tasks with potential quantum advantage.
Developing quantum approaches to solving complex optimisation problems.
Using quantum systems to simulate other quantum systems more efficiently.
Advancing techniques to protect quantum information from noise and decoherence.
Our team explores novel quantum materials with unique properties for next-generation quantum technologies. We focus on topological materials, superconducting qubits, quantum sensors, and 2D materials.
Our interdisciplinary team explores fundamental and applied aspects of quantum science.
Studying materials with topologically protected quantum states.
Developing improved superconducting qubit architectures for quantum computing.
Creating ultra-sensitive quantum sensors for precision measurements.
Investigating quantum properties of atomically thin materials.