Format results

Talk

Machine Learning Lecture
Damian Pope 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


Talk


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


Talk

Quantum Matter Lecture
YinChen He Perimeter Institute for Theoretical Physics

Quantum Matter Lecture
Mohamed Hibat Allah 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
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


Talk


[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




Talk


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



Building Quantum Simulators for QuFTs
Jorg Schmiedmayer Technical University of Vienna




Talk

Talk


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



Talk

Welcome and Opening Remarks

Roger Melko University of Waterloo

Emilie Huffman Perimeter Institute for Theoretical Physics

Shailesh Chandrasekharan Duke University

Ribhu Kaul University of Kentucky


Blackboard Talk 1  Virtual
Senthil Todadri Massachusetts Institute of Technology (MIT)  Department of Physics

Blackboard Talk 2
Senthil Todadri Massachusetts Institute of Technology (MIT)  Department of Physics


Reducing the Sign Problem with Complex Neural Networks
Johann Ostmeyer University of Liverpool

Self dual U(1) lattice field theory with a thetaterm
Christoff Gatringer FWF Austrian Science Fund

Quantum electrodynamics with massless fermions in three dimensions  Talk 1
Rajamani Narayanan Florida International University

Quantum electrodynamics with massless fermions in three dimensions  Talk 2
Rajamani Narayanan Florida International University


Talk

PSI Lecture  Condensed Matter  Lecture 15
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 14
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 13
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 12
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 11
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 10
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 9
Aaron Szasz Lawrence Berkeley National Laboratory

PSI Lecture  Condensed Matter  Lecture 8
Aaron Szasz Lawrence Berkeley National Laboratory


Talk

Welcome and Opening Remarks
Michael Hermele University of Colorado Boulder

Quantum Phases of Matter and Entanglement Basics
John McGreevy University of California, San Diego

Seminar: Engineering quantum spin models with atoms and light
Monika SchleierSmith Stanford University

SYK criticality and correlated metals
Subir Sachdev Harvard University



Seminar: Quantum matter in Moire materials
Pablo JarilloHerrero Massachusetts Institute of Technology (MIT)  Center for Extreme Quantum Information Theory (xQIT)

Exactly Solvable Topological and Fracton Models as Gauge Theories 1
Xie Chen California Institute of Technology


Talk

PSI 2019/2020  Quantum Matter Part 2  Lecture 2
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 2  Lecture 1
Alioscia Hamma University of Naples Federico II


Talk

PSI 2019/2020  Quantum Matter Part 1  Lecture 18
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 17
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 16
Alioscia Hamma University of Naples Federico II
PIRSA:20010042 
PSI 2019/2020  Quantum Matter Part 1  Lecture 15
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 14
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 13
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 12
Alioscia Hamma University of Naples Federico II

PSI 2019/2020  Quantum Matter Part 1  Lecture 11
Alioscia Hamma University of Naples Federico II


Machine Learning 2023/24
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 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
Quantum 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
This 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
Machine 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
This 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
In 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
The 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.

Quantum Criticality: Gauge Fields and Matter
Quantum Criticality: Gauge Fields and Matter 
PSI Lecture  Condensed Matter
PSI Lecture  Condensed Matter 
PSI 2019/2020  Quantum Matter (Part 2)
PSI 2019/2020  Quantum Matter (Part 2) 
PSI 2019/2020  Quantum Matter Part 1
PSI 2019/2020  Quantum Matter Part 1