Quantum Computing Applications in Economics and Finance Conference

Friday April 11, 2025 • 8:30 AM

Quantum computation, a paradigm shift in computer science, holds the potential to affect research in economics and finance profoundly. Quantum algorithms, such as quantum annealing and the Quantum Approximate Optimization Algorithm, can significantly speed up optimization and asset allocation by exploring vast solution spaces more efficiently. Quantum Monte Carlo methods enhance the accuracy and speed of simulations used in pricing derivatives and assessing risk. Additionally, quantum machine learning can improve predictive models.

A conference and a special issue of the Journal of Economic Dynamics and Control are organized to promote cross-disciplinary exchanges on implementing quantum computational methods to problems of interest to economics and finance. The topics include, but are not limited to, solving DSGE models, pricing of financial risk, quantum ambiguity and econometric model specification, quantum money, and cryptography, among others.