Format results

Talk

Causal Inference Lecture  230322
Robert Spekkens Perimeter Institute for Theoretical Physics
23030074 
Causal Inference Lecture  230320
Robert Spekkens Perimeter Institute for Theoretical Physics
23030073 
Causal Inference Lecture  230315
Robert Spekkens Perimeter Institute for Theoretical Physics
23030072 
Causal Inference Lecture  230313
Robert Spekkens Perimeter Institute for Theoretical Physics
23030071 
Causal Inference Lecture  230308
Robert Spekkens Perimeter Institute for Theoretical Physics
23030070 
Causal Inference Lecture  230306
Robert Spekkens Perimeter Institute for Theoretical Physics
23030069


Talk

Quantum Field Theory in Curved Spacetime (PM)  20230324
Sergey Sibiryakov McMaster University

Quantum Field Theory in Curved Spacetime (PM)  20230317
Sergey Sibiryakov McMaster University

Quantum Field Theory in Curved Spacetime (PM)  20230310
Sergey Sibiryakov McMaster University

Quantum Field Theory in Curved Spacetime (PM)  20230303
Sergey Sibiryakov McMaster University

Quantum Field Theory in Curved Spacetime (AM)  20230303
Sergey Sibiryakov McMaster University


Talk

Quantum Information Lecture  230327
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030012 
Quantum Information Lecture  230324
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030011 
Quantum Information Lecture  230322
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030010 
Quantum Information Lecture  230320
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030009 
Quantum Information Lecture  230315
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030007 
Quantum Information Lecture  230313
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030006 
Quantum Information Lecture  230310
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030005 
Quantum Information Lecture  230308
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
23030004


Talk

Machine Learning Lecture  230327
Lauren Hayward Perimeter Institute for Theoretical Physics
23030041 
Machine Learning Lecture  230323
Lauren Hayward Perimeter Institute for Theoretical Physics
23030035 
Machine Learning Lecture  230321
Lauren Hayward Perimeter Institute for Theoretical Physics
23030034 
Machine Learning Lecture  230320
Lauren Hayward Perimeter Institute for Theoretical Physics
23030040 
Machine Learning Lecture  230314
Lauren Hayward Perimeter Institute for Theoretical Physics
23030032 
Machine Learning Lecture  230309
Lauren Hayward Perimeter Institute for Theoretical Physics
23030031 
Machine Learning Lecture  230307
Lauren Hayward Perimeter Institute for Theoretical Physics
23030030 
Machine Learning Lecture  230306
Lauren Hayward Perimeter Institute for Theoretical Physics
23030038


Talk


Talk

Quantum Fields and Strings Lecture  230327
Davide Gaiotto Perimeter Institute for Theoretical Physics
23030026 
Quantum Fields and Strings Lecture  230324
Davide Gaiotto Perimeter Institute for Theoretical Physics
23030025 
Quantum Fields and Strings Lecture  230322
Davide Gaiotto Perimeter Institute for Theoretical Physics
23030024 
Quantum Fields and Strings Lecture  230320
Davide Gaiotto Perimeter Institute for Theoretical Physics
23030023 
Quantum Fields and Strings Lecture  230315
Jaume Gomis Perimeter Institute for Theoretical Physics
23030021 
Quantum Fields and Strings Lecture  230313
Jaume Gomis Perimeter Institute for Theoretical Physics
23030020 
Quantum Fields and Strings Lecture  230310
Jaume Gomis Perimeter Institute for Theoretical Physics
23030019 
Quantum Fields and Strings Lecture  230308
Jaume Gomis Perimeter Institute for Theoretical Physics
23030018


Talk






Particle Physics Lecture  230313
Asimina Arvanitaki Perimeter Institute for Theoretical Physics
23030060 
Particle Physics Lecture  230310
Asimina Arvanitaki Perimeter Institute for Theoretical Physics
23030059 
Particle Physics Lecture  230308
Asimina Arvanitaki Perimeter Institute for Theoretical Physics
23030058


Talk

Talk

Horizon entropy and the Einstein equation  Lecture 20230302
Ted Jacobson University of Maryland, College Park

Horizon entropy and the Einstein equation  Lecture 20230228
Ted Jacobson University of Maryland, College Park

Horizon entropy and the Einstein equation  Lecture 20230223
Ted Jacobson University of Maryland, College Park

Horizon entropy and the Einstein equation  Lecture 20230221
Ted Jacobson University of Maryland, College Park


Talk

Numerical Methods Lecture  230207
Erik Schnetter Perimeter Institute for Theoretical Physics
23020001 
Numerical Methods Lecture  230202
Erik Schnetter Perimeter Institute for Theoretical Physics
23020000 
Numerical Methods Lecture  230201
Erik Schnetter Perimeter Institute for Theoretical Physics
23020003 
Numerical Methods Lecture  230131
Erik Schnetter Perimeter Institute for Theoretical Physics
23010008 
Numerical Methods Lecture  230126
Erik Schnetter Perimeter Institute for Theoretical Physics
23010007 
Numerical Methods Lecture  230124
Erik Schnetter Perimeter Institute for Theoretical Physics
23010006 
Numerical Methods Lecture  230120
Erik Schnetter Perimeter Institute for Theoretical Physics
23010011 
Numerical Methods Lecture  230119
Erik Schnetter Perimeter Institute for Theoretical Physics
23010005


Talk


Talk

Mathematical Physics Lecture  230207
Kevin Costello Perimeter Institute for Theoretical Physics
23020005 
Mathematical Physics Lecture  230202
Kevin Costello Perimeter Institute for Theoretical Physics
23020004 
Mathematical Physics Lecture  230131
Kevin Costello Perimeter Institute for Theoretical Physics
23010018 
Mathematical Physics Lecture  230127
Kevin Costello Perimeter Institute for Theoretical Physics
23010021 
Mathematical Physics Lecture  230126
Kevin Costello Perimeter Institute for Theoretical Physics
23010017 
Mathematical Physics Lecture  230124
Kevin Costello Perimeter Institute for Theoretical Physics
23010016 
Mathematical Physics Lecture  230119
Kevin Costello Perimeter Institute for Theoretical Physics
23010015 
Mathematical Physics Lecture  230118
Kevin Costello Perimeter Institute for Theoretical Physics
23010022


Causal Inference: Classical and Quantum
Can the effectiveness of a medical treatment be determined without the expense of a randomized controlled trial? Can the impact of a new policy be disentangled from other factors that happen to vary at the same time? Questions such as these are the purview of the field of causal inference, a generalpurpose science of cause and effect, applicable in domains ranging from epidemiology to economics. Researchers in this field seek in particular to find techniques for extracting causal conclusions from statistical data. Meanwhile, one of the most significant results in the foundations of quantum theory—Bell’s theorem—can also be understood as an attempt to disentangle correlation and causation. Recently, it has been recognized that Bell’s result is an early foray into the field of causal inference and that the insights derived from almost 60 years of research on his theorem can supplement and improve upon stateoftheart causal inference techniques. In the other direction, the conceptual framework developed by causal inference researchers provides a fruitful new perspective on what could possibly count as a satisfactory causal explanation of the quantum correlations observed in Bell experiments. Efforts to elaborate upon these connections have led to an exciting flow of techniques and insights across the disciplinary divide. This course will explore what is happening at the intersection of these two fields. zoom link: https://pitp.zoom.us/j/94143784665?pwd=VFJpajVIMEtvYmRabFYzYnNRSVAvZz09

Quantum Field Theory in Curved Spacetime
The course is an introduction to quantum field theory in curved spacetime. Upon building up the general formalism, the latter is applied to several topics in the modern theory of gravity and cosmology where the quantum properties of fundamental fields play an essential role.
Topics to be covered:
1) Radiation of particles by moving mirrors
2) Hawking radiation of black holes
3) Production of primordial density perturbations and gravity waves during inflation
4) Statistical properties of the primordial spectra
Required prior knowledge:
Foundations of quantum mechanics and general relativity 
Quantum Information (2022/2023)
We will review the notion of information in the most possible general sense. Then we will revisit our definitions of entropy in quantum physics from an informational point of view and how it relates to information theory and thermodynamics. We will discuss entanglement in quantum mechanics from the point of view of information theory, and how to quantify it and distinguish it from classical correlations. We will derive Bell inequalities and discuss their importance, and how quantum information protocols can use entanglement as a resource. We will introduce other notions of quantum correlations besides entanglement and what distinguishes them from classical correlations. We will also analyze measurement theory in quantum mechanics, the notion of generalized measurements and their importance in the processing and transmission of information. We will introduce the notions of quantum circuits and see some of the most famous algorithms in quantum information processing, as well as in quantum cryptography. We will end with a little introduction to the notions of relativistic quantum information and a discussion about quantum ethics.

Machine Learning for ManyBody Physics (2022/2023)
This course is designed to introduce machine learning techniques for studying classical and quantum manybody problems encountered in quantum matter, quantum information, and related fields of physics. Lectures will emphasize relationships between statistical physics and machine learning. Tutorials and homework assignments will focus on developing programming skills for machine learning using Python.

Strong Gravity (2022/2023)
This course will introduce some advanced topics in general relativity related to describing gravity in the strong field and dynamical regime. Topics covered include properties of spinning black holes, black hole thermodynamics and energy extraction, how to define horizons in a dynamical setting, formulations of the Einstein equations as constraint and evolution equations, and gravitational waves and how they are sourced. 
Quantum Fields and Strings (2022/2023)
This survey course introduces three advanced topics in quantum fields and strings: anomalies, conformal field theory, and string theory. 
Particle Physics (2022/2023)
This course will cover phenomenological studies and experimental searches for new physics beyond the Standard Model, including: natruralness, extra dimension, supersymmetry, dark matter (WIMPs and Axions), grand unification, flavour and baryogenesis. 
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

Horizon entropy and the Einstein equation
This minicourse of four lectures is an introduction, review, and critique of two approaches to deriving the Einstein equation from hypotheses about horizon entropy.
It will be based on two papers:
 "Thermodynamics of Spacetime: The Einstein Equation of State" arxiv.org/abs/grqc/9504004
 "Entanglement Equilibrium and the Einstein Equation" arxiv.org/abs/1505.04753
We may also discuss ideas in "Gravitation and vacuum entanglement entropy" arxiv.org/abs/1204.6349
Zoom Link: https://pitp.zoom.us/j/96212372067?pwd=dWVaUFFFc3c5NTlVTDFHOGhCV2pXdz09

Numerical Methods (2022/2023)
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 Perimeter. The course will also teach principles of software engineering ensuring reproducible results. 
Gravitational Physics (2022/2023)
The main objective of this course is to discuss some advanced topics in gravitational physics and its applications to high energy physics. Necessary mathematical tools will be introduced on the way. These mathematical tools will include a review of differential geometry (tensors, forms, Lie derivative), vielbeins and Cartan’s formalism, hypersurfaces, GaussCodazzi formalism, and variational principles (EinsteinHilbert action & GibbonsHawking term). Several topics in black hole physics including the Kerr solution, black hole astrophysics, higherdimensional black holes, black hole thermodynamics, Euclidean action, and Hawking radiation will be covered. Additional advanced topics will include domain walls, brane world scenarios, KaluzaKlein theory and KK black holes, GregoryLaflamme instability, and gravitational instantons

Mathematical Physics (2022/2023)
This course will cover the mathematical structure underlying classical gauge theory. Previous knowledge of differential geometry is not required. Topics covered in the course include: introduction to manifolds, symplectic manifolds, introduction to Lie groups and Lie algebras; deformation quantisation and geometric quantisation; the matematical structure of field theories; scalar field theory; geometric picture of YangMills theory; symplectic reduction. If time permits, we may also look at the description of gauge theory in terms of principal bundles and the topological aspects of gauge theory.