Transaction Settlement Optimisation

The objective of the project is addressing the gap between currently available quantum processors of the Noisy Intermediate Quantum era and real world use cases. Most promising for NISQ devices are hybrid quantum-classical variational quantum algorithms, which minimise circuit depths by applying shorter classically-optimized gate sequences. However, optimization of the circuit parameters is expected to be difficult and time-consuming for real-world problem sizes. We will be developing quantum algorithms capable of addressing applications in chemistry and the environment, route optimization, and finance using fewer qubits and fewer variational iterations. In particular, the problems we will tackle in finance is transaction settlement optimization within a stock exchange in finance developing and applying quantum optimization algorithms for application in transaction settlement use cases within a stock exchange.