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Can Quantum Machines Execute Complex Adaptive Strategies More Efficiently?

Offered By: PCS Institute for Basic Science via YouTube

Tags

Quantum Computing Courses Artificial Intelligence Courses Game Theory Courses Information Theory Courses Computational Complexity Courses Quantum Information Courses Complex Adaptive Systems Courses Decision Theory Courses

Course Description

Overview

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Explore the potential advantages of quantum information processing in executing complex adaptive strategies through this 32-minute lecture by Mile Gu from PCS Institute for Basic Science. Delve into a framework describing quantum-enhanced agents and their ability to maintain simpler models of reality without compromising adaptive functionality. Examine how predators chasing prey, investors trading stocks, and blackjack players make real-time decisions based on observations and experience. Discover how quantum machines could potentially reduce energetic costs and computational resources when responding to environmental stimuli, offering insights into the future of efficient decision-making in complex systems.

Syllabus

Mile Gu: Can Quantum Machines Execute Complex Adaptive Strategies more Efficiently?


Taught by

PCS Institute for Basic Science

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