About the project
This project explores the emerging field of Quantum Computational Fluid Dynamics (QCFD), combining quantum computing and CFD to simulate nonlinear systems such as turbulence and shockwaves. You will be working and implementing quantum variational algorithms in quantum computers that bridge fundamental physics with quantum algorithmic innovation for next-generation fluid simulation.
The coming decade promises a transformative intersection between quantum computing and computational fluid dynamics (CFD). CFD allows the understanding of phenomena like turbulence and pattern formation with numerous applications in aerodynamics, climate modelling, battery design and many other areas.
Quantum computational fluid dynamics (QCFD) is a novel area that leverages quantum superposition, entanglement, and variational optimization to establish a quantum-native framework for simulating fluid dynamics, rethinking how nonlinear evolution can be expressed, approximated, and stabilized within quantum architectures.
This project will investigate how quantum variational methods can be used to simulate classical and quantum nonlinear systems, bridging fundamental physics with quantum algorithmic innovation in the field of CFD.
The research will involve both analytical ‘pen and paper’ studies as well as numerical simulations; it is also expected that prototype cloud quantum computers will be used for testing of the algorithms.
The project will include funded visits to collaborating groups in Greece, Germany, Austria and Singapore, as well as leading theoretical and experimental teams in the US and Asia.
• Efficient estimation and sequential optimization of cost functions in variational quantum algorithms - see Research summary.