OQC, Citi, and NQCC Evaluate Quantum-Compressed PINNs for Financial Derivative Pricing Workflows
Oxford Quantum Circuits, Citi, and the UK's National Quantum Computing Centre completed a joint study on Quantum-compressed Physics-Informed Neural Networks (QPINNs) for pricing financial derivatives. The evaluation found that QPINNs could reduce model complexity while preserving pricing accuracy. The work targeted workflows relevant to Citi's derivatives business.
Within two years, Citi could begin piloting QPINN-based pricing models on OQC's superconducting hardware for internal risk analytics on complex derivatives, if the compression technique scales beyond the study's test cases.