In 2023, JP Morgan Chase developed and tested new algorithms to consider more future scenarios and variables in options pricing, with a marked improvement over the industry standard.
Financial
Quantum Deep Hedging
Quantum Portfolio Optimization
In 2020, evaluated multiple quantum technologies to quickly optimize a 52-asset investment portfolio for risk and return
Quantum Machine Learning for Churn Prediction
In 2022, developed and tested a quantum algorithm to predict client attrition, finding a 6% improvement in precision.
Quantum Monte Carlo for Insurance Risk
In 2023, modelled wildfire risk in California using 64MM scenarios instead of a more typical