JPMorgan Chase — Head of Global Technology Applied Research, Head of Quantum Computing
KEY09 — Friday, September 22, 2023 @ 8:00-09:30 Pacific Time (PDT) — UTC-7
Marco Pistoia, Ph.D. is a Managing Director, Distinguished Engineer, and the Head of Global Technology Applied Research at JPMorgan Chase, where he leads research in various areas, particularly Quantum Computing. He joined JPMorgan Chase in January 2020. Formerly, he was a Senior Manager, Distinguished Research Staff Member and Master Inventor at the IBM T.J. Watson Research Center in New York, where he managed an international team of researchers responsible for Quantum Computing Algorithms and Applications. He was at IBM Research for 24 years. Dr. Pistoia is the inventor of 271 patents, granted by the U.S. Patent and Trademark Office, and 319 patent-pending applications. In August 2022, he was certified as the 250th most prolific inventor of all time according to the US Patents and Trademarks Office. He is one of the 12 technologists included in HPCwire People to Watch 2023, a 21-year-old program that “recognizes HPC professionals who play leading roles in driving innovation within their particular fields, making significant contributions to society as a whole.” Dr. Pistoia received his Ph.D. in Mathematics from New York University in May 2005. He is the lead author of nine printed books, including Enterprise Java Security (published by Addison-Wesley in English and by Tsinghua University Press in Chinese) and Java 2 Network Security (published by Prentice Hall). He is also a coauthor of the online book Learn Quantum Computation using Qiskit. In the course of his career, he has authored over 400 scholarly publications and received five distinguished paper awards from the ACM and IEEE.
Finance has been identified as the first industry sector to benefit from quantum computing, due to the abundance of use cases with high complexity and the fact that, in finance, time is of the essence, which makes the case for solutions to be computed with high accuracy in real time. Typical use cases in finance that lend themselves to quantum computing are portfolio optimization, derivative pricing, risk analysis, and several problems in the realm of machine learning, such as fraud detection and extractive text summarization.
This talk describes the state of the art of quantum computing for finance, focusing on the research work conducted by the quantum computing team at JPMorgan Chase in the area of quantum algorithms and applications for financial use cases. This presentation will also touch upon JPMorgan Chase’s research effort in the area of Quantum Key Distribution (QKD), the only key-exchange mechanism mathematically proven to be unconditionally secure and, therefore, resistant to quantum or classical computing attacks.