Few datasets are as complex as those in finance, and quantum computing could reveal hidden patterns in complex data. We’re developing algorithms to reveal once-invisible dynamic arbitrage opportunities, better react to volatility, and serve other crucial unmet needs in the financial sector.
A quantum algorithm for the sub-graph isomorphism problem.
- Quantum Finance
- Quantum Machine Learning
- Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
- IEEE TC
- Physical Review Applied
- IEEE TQE
- QCE 2020