In the Hybrid Computation research field, we explore and develop innovative computing methods that combine classical, quantum-inspired, and true quantum approaches. Our focus is on practical solutions with immediate impact, particularly in finance. We collaborate closely with industry partners, following a use-case-driven approach in areas such as deep hedging and computational finance.

A key area of our research is quantum-inspired methods, such as tensor networks, which offer powerful alternatives for complex optimization and simulation problems. Our goal is to develop proof-of-concept solutions and market-ready applications that create economic value.Through strategic partnerships and in-depth market analysis, we are actively shaping the future of hybrid computing methods.