Format results

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

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

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






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

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


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 
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

Cosmology (2022/2023)
This class is an introduction to cosmology. We'll cover expansion history of the universe, thermal history, dark matter models, and as much cosmological perturbation theory as time permits. 
Mathematical Physics  Elective (2022/2023)
Title: An introduction to twistors Course Description: Twistor theory, introduced by Penrose many years ago, is a way to reformulate massless fields on fourdimensional spacetime in terms of an auxiliary 6dimensional complex manifold, called twistor space. This course will introduce twistor space and the Penrose correspondence (relating fields on twistor space and spacetime), at both classical and quantum levels. We will discuss the twistor realization of selfdual YangMills theory and of selfdual gravity. If time permits we will discuss the connection between twistors and celestial holography. 
AdS/CFT (2022/2023)
We will cover the basics of the gauge/gravity duality, including some of the following aspects: holographic fluids, applications to condensed matter systems, entanglement entropy, and recent advances in understanding the black hole information paradox. 
Quantum Gravity (2022/2023)
The main focus of this course is the exploration of the symmetry structure of General Relativity which is an essential step before any attempt at a (direct) quantization of GR. We will start by developing powerful tools for the analysis of local symmetries in physical theories (the covariant phase space method) and then apply it to increasingly complex theories: the parametrized particle, YangMills theory, and finally General Relativity. We will discover in which ways these theories have similar symmetry structures and in which ways GR is special. We will conclude by reviewing classical results on the uniqueness of GR given its symmetry structure and discuss why it is so hard to quantize it. In tutorials and homeworks, through the reading of articles and collegial discussions in the classroomas well as good old exercisesyou will explore questions such as "Should general relativity be quantized at all? Is a single graviton detactable (even in principle)?", "What is the meaning of the wave functions of the universe?", "Can we do physics without time?". 
Quantum Matter (2022/2023)
Matter is quantum. Growing experimental results on materials, natural and synthetic (ion traps, cold atoms etc.,) and concomitant theoretical developments make `quantum matter' an exciting field. There is also a growing interplay of quantum matter physics and quantum information/computation. With a focus on concepts I plan to discuss key phenomenology, quantum models and theory. 
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

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

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. 
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. 
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.