Challenges and opportunities in quantum optimization
- Amira Abbas
- Andris Ambainis
- et al.
- 2024
- Nature Reviews Physics
Dr. Manuel Proissl serves as Global IBM Quantum Industry Applications Lead for Financial Services and Senior Technical Advisor for executive bodies, research teams and government agencies to drive adoption of quantum technology and to accelerate & empower innovation in business and science. He focuses on connecting advances in machine learning/AI and quantum technology & algorithmic research with industry R&D and novel solutions to complex analytical problems.
His research interests range from quantitative finance, complexity economics to particle physics and quantum information science, and the intersection of probabilistic learning with different high-performance computing paradigms, particularly for decision science under uncertainty with partial information, modelling and forecasting of complex systems, learning real-world joint probability distributions and their governing dynamics, algorithmic fairness, adversarial robustness, auditability, and model governance.
Dr. Proissl has worked for international research collaborations, government labs, large financial services organizations and regulators around the world, holding executive, advisory and quantitative roles: from contributing to large scientific research programs to driving industry multi-billion-dollar revenue pools to delivering large enterprise programs for digital innovation, model governance, and monetization of data, AI and emerging technologies such as quantum computing. Moreover, Dr. Proissl has made pioneering contributions to financial modelling for front- to back-office functions, to quantum physics discoveries among one awarded with the Nobel Prize and brings a distinguished track record of over 20 years advancing science, technology and industry applications.
He is a member of the IEEE Computer Society, American Physical Society, and European AI Alliance. He holds a Ph.D. in Physics.