Quantum computers for cognitive modeling
Cognitive models use computational methods to simulate how mental processes generate decisions and behavior. They have become increasingly computationally demanding, even using quantum probabilistic methods to model natural intelligence. Further progress is now contingent on building capable computing platforms that can run these models efficiently. In this talk, I will motivate cognitive modeling as an attractive target for quantum computing, and present the results of an initial exploration. I will demonstrate how known quantum algorithms can be applied to run representative cognitive models. However, the design and performance of these methods on real quantum machines doesn’t meet the needs of cognitive models. Therefore, to bridge this gap, I will outline new research across the quantum computing stack, especially focusing on systems organization. This work takes us closer to realizing the promise of quantum computing for cognitive modeling, and broader real-world applications.
Livestream the event on Zoom here (Yale login required)