18–23 Jun 2023
University of New Brunswick
America/Halifax timezone
Welcome to the 2023 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2023!

(I) Why statistical physics is the best course you take: Introduction to quantum information with tensor networks

22 Jun 2023, 09:00
30m
UNB Kinesiology (Rm. 201 (max. 98))

UNB Kinesiology

Rm. 201 (max. 98)

Invited Speaker / Conférencier(ère) invité(e) Physics Education / Enseignement de la physique (DPE-DEP) (DPE) R1-6 DPE IV | DEP IV (DEP)

Speaker

Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

Description

I cover an introductory article I wrote with a group of students in the French language on the concepts of quantum information in tensor network algorithm. The resulting entanglement renormalization algorithms are known to be highly efficient for both classical and quantum lattice problems in a variety of use cases. I review best practices for creating such an introductory article, when they are necessary, as well as the physics. I then trace how this article has been used by future students.

[1] T.E. Baker, S. Desrosiers, M. Tremblay, M.P. Thompson, Méthodes de calcul avec réseaux de tenseurs en physique, Can. J. Phys. 99, 4 (2021) [ibid. Basic tensor network computations in physics, arxiv: 1911.11566]

Keyword-1 Entanglement renormalization
Keyword-2 Quantum Information
Keyword-3 Introduction

Author

Thomas Baker (Department of Physics & Astronomy and also of Chemistry, University of Victoria)

Presentation materials