Quantum trading – a disturbance in the force (of supply and demand)

Abstract

The influence of information technologies such as the telegraph, personal computers, the internet, and artificial intelligence has been profound, driving significant global economic growth and creating substantial value. We are now on the brink of another technological revolution: the advent of quantum computers. Quantum computers leverage the principles of quantum physics, offering two primary advantages—unprecedented computing speeds and the ability to solve problems that classical computers cannot, particularly in finding optimal Nash equilibrium solutions in non-cooperative games, which have broad applications in economics and finance. In this context, we introduce a prototype for a “quantum trading” platform, designed to use quantum computing to manage trades as scenarios of the Prisoner’s Dilemma, a classic non-cooperative game. Remarkably, our findings suggest that the traditional mass-sell market equilibrium is replaced by a more advantageous mass-buy market equilibrium when quantum computing is applied. We will explore the potential implications of such a quantum trading platform on short selling, especially in emissions trading and green markets.

Speaker Bio

Dr. Faisal Shah Khan is a mathematician with a global track record in advancing quantum computing and quantum communication technology across academia, government, and industry. His contributions to the discipline include the use of matrix decomposition techniques for synthesis of quantum logic circuits, manifold embedding to explore fixed-point guarantee of Nash equilibrium in quantum games, and developing applications of first generation quantum computing platforms in business and finance. Dr. Khan is a research fellow at Rethinc. Labs in UNC Kenan-Flagler Business School and an adjunct professor at SKEMA Business School USA. He is also a member of the North Carolina Coalition for Global Competitiveness.