Jun 18 – 23, 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!

The role of artificial neural networks in quantum many-body physics

Jun 20, 2023, 1:40 PM
10m
UNB Tilley Hall (Rm. 5 (max. 70))

UNB Tilley Hall

Rm. 5 (max. 70)

Invited Speaker / Conférencier(ère) invité(e) Symposia Day (DPE/CAP - DEP/ACP) - Q-STATE: Quantum Science, Technology, Applications, Training, and Education | Science, technologie, applications, formation et éducation quantiques (DPE/CAP) T3-8 Q-STATE: Quantum Science, Technology, Applications, Training, and Education | Science, technologie, applications, formation et éducation quantiques (DEP/ACP)

Speaker

Stef Czischek (University of Ottawa)

Description

Artificial intelligence plays an increasing role in many situations in our everyday lives. Its immense power finds applications in various fields, recently also including the field of quantum many-body physics. Artificial neural networks have led to improved numerical studies of qubit systems, increasing our understanding of these systems, which build the foundation of quantum computers and quantum simulators. In this talk, I will summarize recent breakthroughs achieved with artificial neural networks in quantum physics and provide an outlook of what to expect in the near future.

Keyword-1 quantum
Keyword-2 technology

Primary author

Stef Czischek (University of Ottawa)

Presentation materials