Towards Prediction of Financial Crashes with a D-Wave Quantum Computer
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, i.e., a problem which cannot be solved efficiently with a classical computer.
We experimentally explore a novel approach to this problem by using a D-Wave quantum computer to obtain financial equilibrium more efficiently, benchmarking its performance for attaining financial equilibrium.