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The Polynomial Method in Quantum Query Complexity - Part 2

IAS | PCMI Park City Mathematics Institute via YouTube

Overview

Learn about quantum query complexity through a 55-minute lecture focusing on polynomial methods and their applications in quantum computing. Explore fundamental lower bound techniques, including polynomial and adversary methods, while diving into new variants like the compressed oracle technique. Examine the role of duals in these methods and their impact on achieving tight bounds and developing new algorithms. Part of a comprehensive Graduate Summer School program at PCMI, this lecture delves into mathematical concepts essential for understanding quantum algorithms, from the Bernstein-Vazirani algorithm to the recent Yamakawa-Zhandry supremacy breakthrough. Master key concepts including introduction to high-level focus, basic definitions, fundamental theorems, symmetrization, univariate polynomials, dual polynomials, weak duality, and the Random Oracle Model. Access accompanying lecture notes and problem session materials to reinforce understanding of quantum query complexity within the broader context of quantum computation.

Syllabus

Introduction
Highlevel focus
Basic definition
First answer
Fundamental definition
On function
Textbooks
Fundamental Theorem
Notation
Proof
Base case
Theorem
Symmetrization
Univariate polynomial
Dual polynomials
Weak Duality
Random Oracle Model

Taught by

IAS | PCMI Park City Mathematics Institute

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