Sector: Healthcare
Lead Organisation: Zaiku Group Limited
Project Partners: QSL, NQCC
This project developed Stochastic Quantum Neural Operators (SQNOs), a new quantum machine‑learning framework that harnesses NISQ hardware as a functional resource to improve uncertainty modelling, privacy, and generalisation when forecasting complex PDE‑driven systems such as tumour growth. Building on baselines of classical and deterministic neural operators, the project delivered a working SQNO prototype, benchmarking studies, and formal analysis of hardware‑intrinsic privacy. Beyond biomedical forecasting, the project provided a foundational dual‑use capability, enabling future adaptation of SQNOs for defence and security applications, particularly orbital asset threat monitoring, where uncertainty-aware and privacy-preserving modelling of stochastic dynamical systems is essential.