Learning to Predict Arbitrary Quantum Processes
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a groundbreaking lecture on quantum learning theory that challenges conventional wisdom about predicting quantum processes. Delve into the comparison between classical and quantum learning, discovering how quantum systems offer surprising advantages in predicting local properties of arbitrary quantum circuits. Examine the potential for quantum learning algorithms to outpace traditional methods in simulating complex quantum dynamics. Gain insights from Hsin-Yuan Huang's research, followed by an expert panel discussion featuring leading figures in quantum computing and theoretical computer science.
Syllabus
Learning to Predict Arbitrary Quantum Processes
Taught by
Simons Institute
Related Courses
Quantum Information Science II: Advanced quantum algorithms and information theoryMassachusetts Institute of Technology via edX Physical Basics of Quantum Computing
Saint Petersburg State University via Coursera Advanced Quantum Mechanics with Applications
Indian Institute of Technology Guwahati via Swayam Selected chapters of quantum mechanics for modern engineering
National University of Science and Technology MISiS via edX Predicting Many Properties of a Quantum System from Very Few Measurements
Simons Institute via YouTube