Quantum machine learning algorithm for natural phenomena forecasting to improve risk assessment in insurance industry.
We will feed satellite images to the quantum convolutional neural network (qCNN) and analyse it to predict natural phenomena and assess risk in insurance.
We are solving challenge number 2, by exploiting a new technology for complex data analysis (i.e., natural disaster prediction), which promises greater speed, lower costs and lesser environmental impact of risk assessment, resulting in significant economic value for insurance companies.
Martin Vogrin: Quantum computing, team lead
Rok Vogrin: Backend development
Filip Kozarski: Classical ML, quantum computing
Jan Grašič: Project manager