Condensed matter physics is the branch of physics that studies systems of very large numbers of particles in a condensed state, like solids or liquids. Condensed matter physics wants to answer questions like: why is a material magnetic? Or why is it insulating or conducting? Or new, exciting questions like: what materials are good to make a reliable quantum computer? Can we describe gravity as the behavior of a material? The behavior of a system with many particles is very different from that of its individual particles. We say that the laws of many body physics are emergent or collective. Emergence explains the beauty of physics laws.
Format results

Collection Number C25011

Machine Learning (Elective), PHYS 777, February 24  March 28, 2025
Collection Number C25008 
Quantum Field Theory II (Core), PHYS 603, November 12  December 11, 2024
Collection Number C24035 
Quantum Field Theory I (Core), PHYS 601, October 7  November 6, 2024
Collection Number C24034 
Statistical Physics (Core), PHYS 602, October 7  November 6, 2024
Collection Number C24033 
Machine Learning 2023/24
12 talksCollection Number C24027Talk

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics

Machine Learning Lecture
Mohamed Hibat Allah Perimeter Institute for Theoretical Physics


Higher Categorical Tools for Quantum Phases of Matter
15 talksCollection Number C24016Talk


Analogies between QFT and lattice systems
Anton Kapustin California Institute of Technology (Caltech)  Division of Physics Mathematics & Astronomy

Models of anyons with symmetry: a bulkboundary correspondence
Fiona Burnell University of Minnesota

Twisted Tools for (Untwisted) Quantum Field Theory
Justin Kulp Stony Brook University

Quantum double models and DijkgraafWitten theory with defects
Catherine Meusburger 
Topological sectors in quantum lattice models
Clement Delcamp Institut des Hautes Etudes Scientifiques (IHES)

DouglasReutter 4d TQFT as a generalised orbifold
Vincentas Mulevičius Vilnius University

Weak Hopf symmetric tensor networks
Andras Molnar University of Vienna


Quantum Matter 2023/24
13 talksCollection Number C24011Talk

Quantum Matter Lecture
Timothy Hsieh Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
Timothy Hsieh Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
Timothy Hsieh Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics


Machine Learning for Quantum ManyBody Systems
21 talksCollection Number C23002Talk


[Virtual] Exploring Quantum Science with Machine Learning
Di Luo Massachusetts Institute of Technology (MIT)

Near Term Distributed Quantum Computation using Optimal Auxiliary Encoding
Abigail McClain Gomez 


Automated Characterization of Engineered Quantum Materials
Eliska Greplova Delft University of Technology




Quantum Simulators of Fundamental Physics
23 talksCollection Number C23019Talk


Simulating onedimensional quantum chromodynamics on a quantum computer: Realtime evolutions of tetra and pentaquarks
Christine Muschik Institute for Quantum Computing (IQC)


Five short talks  see description for talk titles

Barbara Soda Perimeter Institute for Theoretical Physics

Dalila Pirvu Perimeter Institute for Theoretical Physics
 Leonardo Solidoro, Pietro Smaniotto, Kate Brown


First observations of false vacuum decay in a BEC
Ian Moss Newcastle University

Building Quantum Simulators for QuFTs
Jorg Schmiedmayer Technical University of Vienna




Mini introductory course on topological orders and topological quantum computing
2 talksCollection Number C23023Talk

Quantum Matter Workshop
15 talksCollection Number C22033Talk


Topological superconductivity in twisted doublelayer highTc cuprates: Theory and experimental signatures
Marcel Franz University of British Columbia

Stacking Induced Spontaneous Polarization in Rhombohedral MoS2
Ziliang Ye University of British Columbia


Z2 spin liquids in spinS Kitaev honeycomb model via parton construction
Han Ma Perimeter Institute for Theoretical Physics


NonFermi liquids and quantum criticality in multipolar Kondo systems
YongBaek Kim University of Toronto



Quantum Matter (Elective), PHYS 777, March 31  May 2, 2025
Collection Number C25011This course will cover quantum phases of matter, with a focus on longrange entangled states, topological states, and quantum criticality. 
Machine Learning (Elective), PHYS 777, February 24  March 28, 2025
Collection Number C25008Machine 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 manybody physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. 
Quantum Field Theory II (Core), PHYS 603, November 12  December 11, 2024
Collection Number C24035This course introduces the functional integral formalism, the renormalization group, and nonabelian gauge theory. Additional topics may be covered as time allows. 
Quantum Field Theory I (Core), PHYS 601, October 7  November 6, 2024
Collection Number C24034The first half of the course explains why fields are desirable when quantum mechanics meets special relativity. The second half introduces different kinds of spinor fields and their interactions. 
Statistical Physics (Core), PHYS 602, October 7  November 6, 2024
Collection Number C24033The 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, with particular emphasis on the renormalisation group approach. 
Machine Learning 2023/24
12 talksCollection Number C24027Machine 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 manybody physics. At the end of this course, you will be equipped with the necessary and preliminary tools for starting your own machine learning projects. 
Higher Categorical Tools for Quantum Phases of Matter
15 talksCollection Number C24016Quantum phases have become a staple of modern physics, thanks to their appearance in fields as diverse as condensed matter physics, quantum field theory, quantum information processing, and topology. The description of quantum phases of matter requires novel mathematical tools that lie beyond the old symmetry breaking perspective on phases. Techniques from topological field theory, homotopy theory, and (higher) category theory show great potential for advancing our understanding of the characterization and classification of quantum phases. The goal of this workshop is to bring together experts from across mathematics and physics to discuss recent breakthroughs in these mathematical tools and their application to physical problems.
Scientific Organizers
Lukas Mueller
Alex Turzillo
Davide Gaiotto
Sponsored in part by the Simons Collaboration on Global Categorical Symmetries

Quantum Matter 2023/24
13 talksCollection Number C24011This course will cover quantum phases of matter, with a focus on longrange entangled states, topological states, and quantum criticality.

Machine Learning for Quantum ManyBody Systems
21 talksCollection Number C23002Machine learning techniques are rapidly being adopted into the field of quantum manybody physics, including condensed matter theory, experiment, and quantum information science. The steady increase in data being produced by highlycontrolled quantum experiments brings the potential of machine learning algorithms to the forefront of scientific advancement. Particularly exciting is the prospect of using machine learning for the discovery and design of molecules, quantum materials, synthetic matter, and computers. In order to make progress, the field must address a number of fundamental questions related to the challenges of studying manybody quantum mechanics using classical computing algorithms and hardware.
The goal of this conference is to bring together experts in computational physics, machine learning, and quantum information, to make headway on a number of related topics, including:
 Datadrive quantum state reconstruction
 Machine learning strategies for quantum error correction and quantum control
 Neuralnetwork inspired wavefunctions
 Nearterm prospects for data from quantum devices
 Machine learning for quantum algorithm discovery
Territorial Land AcknowledgementPerimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.

Quantum Simulators of Fundamental Physics
23 talksCollection Number C23019This meeting will bring together researchers from the quantum technology, atomic physics, and fundamental physics communities to discuss how quantum simulation can be used to gain new insight into the physics of black holes and the early Universe. The core program of the workshop is intended to deepen collaboration between the UKbased Quantum Simulators for Fundamental Physics (QSimFP; https://www.qsimfp.org) consortium and researchers at Perimeter Institute and neighbouring institutions. The weeklong conference will consist of broadlyaccessible talks on work within the consortium and work within the broader community of researchers interested in quantum simulation, as well as a poster session and ample time for discussion and collaboration
Territorial Land AcknowledgementPerimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.

Mini introductory course on topological orders and topological quantum computing
2 talksCollection Number C23023In this mini course, I shall introduce the basic concepts in 2D topological orders by studying simple models of topological orders and then introduce topological quantum computing based on Fibonacci anyons. Here is the (not perfectly ordered) syllabus.
 Overview of topological phases of matter
 Z2 toric code model: the simplest model of 2D topological orders
 Quick generalization to the quantum double model
 Anyons, topological entanglement entropy, S and T matrices
 Fusion and braiding of anyons: quantum dimensions, pentagon and hexagon identities
 Fibonacci anyons
 Topological quantum computing

Quantum Matter Workshop
15 talksCollection Number C22033The goal of this conference is for quantum matter researchers at Perimeter, University of British Columbia, and University of Toronto to share their recent work with each other, to facilitate discussion and collaboration.
Territorial Land AcknowledgementPerimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.