Sebastian Zając from finQbit presented a practical application of quantum machine learning for option pricing at the Quantum & AI Conference in Košice, marking a shift from theoretical discussions in quantum finance. The presentation details how finQbit uses current quantum devices for derivatives pricing, focusing on real-world experiments rather than waiting for a fully developed quantum computer. Amazon Web Services supported the conference and demonstrated investments to accelerate the commercialization of quantum computing across industries, including finance, and to foster connections between the quantum, AI, and financial communities.
On behalf of the company, Mr. Zając moved beyond mere conceptual financial modeling to demonstrate how existing quantum devices can be used to explore quantum technologies. The presentation specifically addressed derivatives pricing, recognized both the opportunities and limitations of current technology, and emphasized the importance of hands-on experimentation with real hardware to identify early quantum benefits in finance. The company noted that Zajonz’s research is essential to expanding this emerging field.
finQbit believes that the financial infrastructure of the future will be built by a hybrid of high-performance computing and quantum systems, so a focus on practical experimentation is a hallmark of finQbit’s approach. Rather than waiting for a fully developed quantum computer, the company’s strategy focuses on leveraging existing technology to identify areas in finance where the benefits of quantum may first emerge.
At finQbit, we strongly believe that the future of financial infrastructure will be built through a hybrid HPC + quantum approach. Hands-on experimentation with real hardware is essential to understanding where the benefits of quantum may first emerge in finance.
