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Towards Optimal Separations between Quantum and Randomized Query Complexities

Offered By: IEEE via YouTube

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Quantum Computing Courses Computational Models Courses Randomized Algorithms Courses Theoretical Computer Science Courses Complexity Theory Courses

Course Description

Overview

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Explore a comprehensive lecture on the advancements in separating quantum and randomized query complexities. Delve into the latest research findings presented by Avishay Tal from UC Berkeley, as he discusses the ongoing efforts to achieve optimal distinctions between these two computational models. Gain insights into the theoretical foundations and practical implications of this cutting-edge work in quantum computing and complexity theory.

Syllabus

Towards Optimal Separations between Quantum and Randomized Query Complexities


Taught by

IEEE FOCS: Foundations of Computer Science

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