YoVDO

A Max-Flow Approach to Random Tensor Networks

Offered By: Centre International de Rencontres Mathématiques via YouTube

Tags

Mathematical Physics Courses Graph Theory Courses Quantum Entanglement Courses Quantum Information Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a conference talk on the application of Max-Flow techniques to Random Tensor Networks, presented by Faedi Loulidi at the Centre International de Rencontres Mathématiques in Marseille, France. Delve into this 33-minute recording from the thematic meeting "Random quantum channels: entanglement and entropies" held on July 09, 2024. Access this video and other presentations by renowned mathematicians through CIRM's Audiovisual Mathematics Library, featuring chapter markers, keywords, enriched content with abstracts and bibliographies, and a multi-criteria search function. Gain insights into the intersection of max-flow algorithms and random tensor networks, expanding your understanding of this specialized area in mathematical physics.

Syllabus

Faedi Loulidi: A Max-Flow approach to Random Tensor Networks


Taught by

Centre International de Rencontres Mathématiques

Related Courses

Quantum Information Science II: Advanced quantum algorithms and information theory
Massachusetts Institute of Technology via edX
Physical Basics of Quantum Computing
Saint Petersburg State University via Coursera
Advanced Quantum Mechanics with Applications
Indian Institute of Technology Guwahati via Swayam
Selected chapters of quantum mechanics for modern engineering
National University of Science and Technology MISiS via edX
Predicting Many Properties of a Quantum System from Very Few Measurements
Simons Institute via YouTube