Quantum Computing Collaboration Between JPMorgan Chase and Argonne National Laboratory

Ruslan Shaydulin, Global Technology Applied Research Center at JPMorgan Chase
LANS Seminar Graphic featuring the title and date for the event.

JPMorgan Chase and Argonne National Laboratory are partners in a long-running collaboration. In this talk, I will survey our recent joint results and discuss opportunities for future collaborations. My talk will cover the recent demonstration of a scaling advantage for the Quantum Approximate Optimization Algorithm, as well as other results in quantum optimization and high-performance computing. 

Bio: Ruslan Shaydulin is a quantum algorithms researcher at the Global Technology Applied Research center at JPMorgan Chase. Ruslan’s research centers on applying quantum algorithms to classical problems, with a focus on optimization and machine learning. Prior to joining JPMorgan Chase, Ruslan was a Maria Goeppert Mayer fellow at Argonne National Laboratory.

See all upcoming talks at https://www.anl.gov/mcs/lans-seminars