Applied Quantum Computing Group

Our group aims to exploit the potential of quantum computing in clinically-relevant fields such as imaging, image analysis and Artificial Intelligence (AI) to increase diagnostic accuracy and to support precision medicine throughout the following pillar objectives: 1. Native Quantum Computing: To propose novel image reconstruction and analysis approaches in clinically-relevant fields utilizing quantum computing approaches and noisy intermediate scale quantum (NISQ) computers. 2. Classic-to-Quantum Transitioning: To consolidate and transition existing classical computing methodologies to the quantum computing domain in order to make them adoptable in small-qubit NISQs. 3. Clinical Adoption: To investigate novel quantum circuit visualization principles for supporting future clinical adoption and interpretation of quantum computing applications in clinical routine.