Sebastian Zając of finQbit presented practical applications of Quantum Machine Learning for option pricing at the Quantum & AI Conference in Košice, indicating a shift from theoretical discussions in quantum finance. The presentation detailed how finQbit is using current quantum devices for derivatives pricing, focusing on real-world experimentation instead of waiting for fully developed quantum computers. Amazon Web Services supported the conference, demonstrating investment in accelerating the practical adoption of quantum computing across industries, including finance, and fostering connections between the quantum, AI, and financial communities.
Zając represented the company, showcasing how quantum techniques can be explored with existing quantum devices, a departure from solely conceptual financial modeling. The presentation specifically addressed derivatives pricing, acknowledging both the potential and constraints of current technology, and emphasized the importance of practical experimentation on real hardware for identifying early quantum advantages in finance. The company noted that Zając’s research is vital in expanding this emerging field.
This emphasis on practical experimentation distinguishes finQbit’s approach, as the company believes the future of financial infrastructure will be built through hybrid High Performance Computing and quantum systems. The company’s strategy centers on identifying areas where quantum advantage may first appear in finance, leveraging existing technology rather than awaiting fully developed quantum computers.
At finQbit, we strongly believe that the future of financial infrastructure will be built through hybrid HPC + quantum approaches, where practical experimentation on real hardware is essential for understanding where quantum advantage may emerge first in finance.
