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

YouTube

A Dobrushin Condition for Quantum Markov Chains

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn about quantum Markov chains and mixing time bounds in this 52-minute conference talk from IPAM's New Frontiers in Quantum Algorithms for Open Quantum Systems Workshop. Explore how classical mixing time theory can be extended to quantum systems, addressing a major barrier in understanding open quantum dynamics. Discover the role of quantum Wasserstein distance in developing quantum versions of path-coupling, Dobrushin conditions, and disagreement percolation techniques. Examine how these theoretical advances enable recovery of existing rapid mixing results at high temperature and their potential application to clustering of conditional mutual information in quantum systems. Gain insights into collaborative research bridging classical probability theory and quantum information science, presented by Ewin Tang from UC Berkeley in joint work with Ainesh Bakshi, Allen Liu, and Ankur Moitra.

Syllabus

Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

Reviews

Start your review of A Dobrushin Condition for Quantum Markov Chains

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.