YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Quantum Mechanics for Scientists and Engineers 2
Stanford University via edX
Quantum Mechanics for Scientists and Engineers 2
Stanford University via Stanford OpenEdx
Quantum Information Science II
Massachusetts Institute of Technology via edX
The Hardware of a Quantum Computer
Delft University of Technology via edX
Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity
Massachusetts Institute of Technology via edX