Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Learning Beyond Stabilizer States

Simons Institute via YouTube

Overview

Explore the frontiers of quantum information in this lecture on learning algorithms for quantum states beyond stabilizer states. Delve into recent research by William Kretschmer and collaborators that extends learning capabilities to quantum states with varying degrees of "non-stabilizerness." Discover how these new algorithms scale in complexity based on the deviation from pure stabilizer states, with a focus on outputs from Clifford+T circuits and states with bounded stabilizer fidelity. Gain insights into the implications of these advancements for quantum computing and information theory, building upon the foundational work of Aaronson, Gottesman, and Montanaro on efficient learning algorithms for stabilizer states.

Syllabus

Learning Beyond Stabilizer States

Taught by

Simons Institute

Reviews

Start your review of Learning Beyond Stabilizer States

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.