(The Virtual) May 26, 2020 NYC Quantum Computing Meetup

Rajiv Krishnakumar will talk - virtually - about "An Introduction to Quantum Game Theory" on Tuesday, May 26, 2020.

(Please sign up and I'll post the zoom details to attendees next week.)

Abstract:

Game Theory is defined as "the study of mathematical models of strategic interaction among rational decision-makers", which is a very formal way of saying "it's the study of how games are played!" Quantum game theory takes the classical game theory games (e.g. the Prisoner's Dilemma) and asks what happens if we could play them on quantum computers. In this talk, I will cover the basics of what a "game theory" game is, what a "quantum game theory" game is, how you can study these types of games, and how the way we think about strategies change when you go from the classical to the quantum regime.

Bio:

Rajiv Krishnakumar received a PhD in experimental atomic physics from Stanford University in 2017. He then took up a joint postdoctoral fellowship position at Caltech and AT&T Foundry, after which he switched gears and joined the Securities Division at Goldman Sachs as a data scientist. For two years he worked on improving and automating part of the FX spot and forwards pricing decision making using machine learning and heuristics. Afterwards he moved on to the R&D team where for the past few months he has been working as a research scientist in the field of quantum computing. His current primary focus is on applying quantum algorithms to the fields of options pricing and reinforcement learning, and understanding if a quantum advantage can be attained in these fields.