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This course is part of the 2026 Undergraduate Summer School curriculum. This course introduces modern artificial neural network architectures and explores how they can be used to study quantum many-body systems as key models underlying quantum computation and condensed matter physics. Students will

This course is part of the 2026 Undergraduate Summer School curriculum. This four-lecture course traces dark matter from the evidence that it must exist (Bullet Cluster, CMB, galactic rotation curves) through the two leading models — heavy thermal relics protected by a symmetry (WIMPs) and

This course introduces Scientific Machine Learning, beginning with an overview of traditional and modern machine learning methods illustrated with examples from physics. It then transitions to physics-informed approaches, where physical laws, symmetries, and mechanistic models are embedded into

This series is a crash course introduction to a handful of advanced topics designed to tackle the general problem of how to engineer Positive Operator-Valued Measures (POVMs) using observable building blocks, the so-called Instrument Manifold Program. This program emerged from a recent fundamental

The annual Graduate Students’ Conference showcases the diverse research directions at Perimeter Institute, both organized and presented by the students. Our graduate students are invited to share their best work with their fellow PhD students, PSI students and other PI residents interested in

The aim of this course is to explore the main ideas of the statistical physics approach to critical phenomena. We will discuss phase transitions, using the ferromagnetic phase transition and the Ising model as our primary example. The renormalisation group approach will be an important part of this

Since its founding, training has been a cornerstone of Perimeter Institute’s mission. Over the years, we have supported nearly 1,000 postdoctoral researchers and graduate students along their academic journeys. Many have gone on to make remarkable contributions in academia and industry, while others

This is a theoretical physics course that aims to review the basics of theoretical mechanics, special relativity, and classical field theory, with the emphasis on geometrical notions and relativistic formalism, thus setting the stage for the forthcoming courses in Quantum Mechanics, and Quantum

This 5-day program will explore the intersection of AI and fundamental theoretical physics. The event will feature two components, a symposium and a workshop, centered around two complementary themes: AI for theoretical physics and theoretical physics for AI. The program will begin on April 7 and 8

As Perimeter enters its 25th year, we invite you to imagine what theoretical physics research will look like 25 years from now. On April 7 and 8, Perimeter will be hosting a symposium with speakers and panel discussions focusing on the promise of AI to accelerate progress in theoretical physics

Machine learning has become a very valuable toolbox for scientists including physicists. In this course, we will learn the basics of machine learning with an emphasis on applications for many-body physics. At the end of this course, you will be equipped with the necessary and preliminary tools for

This course teaches basic numerical methods that are widely used across many fields of physics. The course is based on the Julia programming language. Topics include an introduction to Julia, linear algebra, Monte Carlo methods, differential equations, and are based on applications by researchers at