Philippe de Brouwer (AGH, Kraków)

This presentation examines quantum computing’s role in revolutionizing banking, addressing classical computing bottlenecks and quantum advantages like superposition and entanglement. Highlighting real-world applications—portfolio optimization, fraud detection, and quantum machine learning—it references breakthroughs by JPMorgan (option pricing) and HSBC (hybrid risk models). Key methodologies such as Quantum Monte Carlo and quantum-linear algebra are linked to financial use cases, while challenges like NISQ-era hardware limitations and noise are acknowledged. The roadmap stresses hybrid quantum-classical solutions for near-term impact and strategic readiness through pilot projects and workforce upskilling. Ultimately, quantum computing emerges as a future pillar for efficient, secure, and innovative banking ecosystems.