Format results

Talk

Causal Inference Lecture  230412
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23040003 
Causal Inference Lecture  230405
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23040001 
Causal Inference Lecture  230403
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23040000 
Causal Inference Lecture  230329
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23030076 
Causal Inference Lecture  230322
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23030074 
Causal Inference Lecture  230320
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23030073 
Causal Inference Lecture  230315
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23030072 
Causal Inference Lecture  230313
Robert Spekkens Perimeter Institute for Theoretical Physics
PIRSA:23030071


Talk


Quantum Field Theory in Curved Spacetime (PM)  20230331
Sergey Sibiryakov McMaster University

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



Machine Learning Lecture  230327

Joan Arrow University of Waterloo

Sarah Marsh City of Kitchener
PIRSA:23030041 

Machine Learning Lecture  230323
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23030035 
Machine Learning Lecture  230321
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23030034 
Machine Learning Lecture  230320
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23030040 
Machine Learning Lecture  230314
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23030032 
Machine Learning Lecture  230309
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23030031


Talk

Particle Physics Lecture  230331
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030068 
Particle Physics Lecture  230329
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030067 
Particle Physics Lecture  230327
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030066 
Particle Physics Lecture  230324
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030065 
Particle Physics Lecture  230322
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030064 
Particle Physics Lecture  230320
Junwu Huang Perimeter Institute for Theoretical Physics
PIRSA:23030063 
Particle Physics Lecture  230315
PIRSA:23030061 


Talk

Quantum Fields and Strings Lecture  230331
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030028 
Quantum Fields and Strings Lecture  230329
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030027 
Quantum Fields and Strings Lecture  230327
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030026 
Quantum Fields and Strings Lecture  230324
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030025 
Quantum Fields and Strings Lecture  230322
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030024 
Quantum Fields and Strings Lecture  230320
Davide Gaiotto Perimeter Institute for Theoretical Physics
PIRSA:23030023 
Quantum Fields and Strings Lecture  230315
Jaume Gomis Perimeter Institute for Theoretical Physics
PIRSA:23030021 
Quantum Fields and Strings Lecture  230313
Jaume Gomis Perimeter Institute for Theoretical Physics
PIRSA:23030020


Talk

Strong Gravity Lecture  230330
William East Perimeter Institute for Theoretical Physics
PIRSA:23030050 
Strong Gravity Lecture  230328
William East Perimeter Institute for Theoretical Physics
PIRSA:23030049 
Strong Gravity Lecture  230327
William East Perimeter Institute for Theoretical Physics
PIRSA:23030054 
Strong Gravity Lecture  230323
William East Perimeter Institute for Theoretical Physics
PIRSA:23030048 
Strong Gravity Lecture  230321
William East Perimeter Institute for Theoretical Physics
PIRSA:23030047 
Strong Gravity Lecture  230320
William East Perimeter Institute for Theoretical Physics
PIRSA:23030053 
Strong Gravity Lecture  230316
William East Perimeter Institute for Theoretical Physics
PIRSA:23030046 
Strong Gravity Lecture  230314
William East Perimeter Institute for Theoretical Physics
PIRSA:23030045


Talk

Quantum Information Lecture  230331
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030014 
Quantum Information Lecture  230329
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030013 
Quantum Information Lecture  230327
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030012 
Quantum Information Lecture  230324
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030011 
Quantum Information Lecture  230322
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030010 
Quantum Information Lecture  230320
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030009 
Quantum Information Lecture  230315
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030007 
Quantum Information Lecture  230313
Eduardo MartinMartinez Institute for Quantum Computing (IQC)
PIRSA:23030006


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

Quantum Foundations Lecture  230206
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23020017 
Quantum Foundations Lecture  230203
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23020016 
Quantum Foundations Lecture  230102
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23020015 
Quantum Foundations Lecture  230130
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23010055 
Quantum Foundations Lecture  230127
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23010054 
Quantum Foundations Lecture  230125
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23010053 
Quantum Foundations Lecture  230123
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23010052 
Quantum Foundations Lecture  230120
Lucien Hardy Perimeter Institute for Theoretical Physics
PIRSA:23010051


Talk


Talk


Talk

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


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 
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.

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. 
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. 
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 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.

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

Quantum Foundations (2022/2023)
This course will cover the basics of Quantum Foundations under three main headings. Part I – Novel effects in Quantum Theory. A number of interesting quantum effects will be considered. (a) Interferometers: MachZehnder interferometer, ElitzurVaidman bomb tester, (b) The quantumZeno effect. (c) The no cloning theorem. (d) Quantum optics (single mode). HongOuMandel dip. Part II Conceptual and interpretational issues. (a) Axioms for quantum theory for pure states. (b) VonNeumann measurement model. * (c) The measurement (or reality) problem. (d) EPR Einstein’s 1927 remarks, the EinsteinPodolskyRosen argument. (e) Bell’s theorem, nonlocality without inequalities. The Tirolson bound. (f) The KochenSpecker theorem and related work by Spekkens (g) On the reality of the wavefunction: Epistemic versus ontic interpretations of the wavefunction and the PuseyBarrettRudolph theorem proving the reality of the wave function. (h) Gleason’s theorem. (i) Interpretations. The landscape of interpretations of quantum theory (the Harrigen Spekkens classification). The de BroglieBohm interpretation, the many worlds interpretation, wavefunction collapse models, the Copenhagen interpretation, and QBism. Part III Structural issues. (a) Reformulating quantum theory: I will look at some reformulations of quantum theory and consider the light they throw on the structure of quantum theory. These may include time symmetric quantum theory and weak measurements (Aharonov et al), quantum Bayesian networks, and the operator tensor formalism. (b) Generalised probability theories: These are more general frameworks for probabilistic theories which admit classical and quantum as special cases. (c) Reasonable principles for quantum theory: I will review some of the recent work on reconstructing quantum theory from simple principles. (d) Indefinite causal structure and indefinite causal order. Finally I will conclude by looking at (i) the close link between quantum foundations and quantum information and (ii) possible future directions in quantum gravity motivated by ideas from quantum foundations.

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. 
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

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.