Quantum Physics Informed Neural Networks for Derivative Pricing
QPINN
OQC and Citi tested whether quantum-compressed neural networks can price financial derivatives.
Role: Partner
Themes: Computing, Software and algorithms
Company · London
Citi's visible UK quantum work is a single NQCC SparQ proof of concept: Quantum Physics Informed Neural Networks for Derivative Pricing, led by Oxford Quantum Circuits with the University of Edinburgh's Quantum Software Lab and the NQCC as partners. The bank supplied financial modelling expertise and real market use cases, while OQC brought its hardware and quantum-AI research, to test whether hybrid quantum-classical neural networks could price derivatives faster and more accurately. The project page reports a proof of concept but no performance figures.
Citi is a London company. It is a partner in 1 UK project: QPINN.
Sources: NQCC: Quantum Physics Informed Neural Networks for Derivative Pricing · NQCC: Collaborative R&D
QPINN
OQC and Citi tested whether quantum-compressed neural networks can price financial derivatives.
Role: Partner
Themes: Computing, Software and algorithms
Research, commercial and investment relationships, by year. Partners with a profile here are linked.
Oxford Quantum Circuits Research 2026
Recorded on Oxford Quantum Circuits's profile.
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