New Directions in Quantum State Learning and Testing

Offered By: QuICS via YouTube

Course Description

Overview

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

Explore new developments in quantum state learning and testing in this one-hour talk by Ryan O'Donnell from QuICS. Delve into efficient algorithms for quantum state tomography, the quantum equivalent of estimating probability distributions. Gain insights into the importance of distinguishing between total variation distance, Hellinger distance, KL divergence, and chi-squared divergence. Discover quantum-inspired enhancements to classical independence testing problems. Learn about collaborative research with Steven T. Flammia from Amazon, advancing the field of quantum information science.

Syllabus

Ryan O'Donnell:New directions in quantum state learning and testing

Taught by

QuICS

Related Courses

Trust Region & Proximal Policy Optimization
Pascal Poupart via YouTube Evaluation of Adaptive Systems
Association for Computing Machinery (ACM) via YouTube Topology of Surprisal - Information Theory and Vietoris-Rips Filtrations
Applied Algebraic Topology Network via YouTube The Key Equation Behind Probability - Entropy, Cross-Entropy, and KL Divergence
Artem Kirsanov via YouTube Variational Inference and Optimization - Lecture 1
Probabilistic AI School via YouTube