Format results
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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
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Machine Learning Lecture - 230327
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Joan Arrow University of Waterloo
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Sarah Marsh City of Kitchener
PIRSA:23030041 -
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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
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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
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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
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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 -
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Horizon entropy and the Einstein equation - Lecture 20230302
Ted Jacobson University of Maryland, College Park
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Horizon entropy and the Einstein equation - Lecture 20230228
Ted Jacobson University of Maryland, College Park
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Horizon entropy and the Einstein equation - Lecture 20230223
Ted Jacobson University of Maryland, College Park
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Horizon entropy and the Einstein equation - Lecture 20230221
Ted Jacobson University of Maryland, College Park
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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
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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 general-purpose 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 state-of-the-art 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
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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. -
Machine Learning for Many-Body Physics (2022/2023)
This course is designed to introduce machine learning techniques for studying classical and quantum many-body 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.
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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.
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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. -
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
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Horizon entropy and the Einstein equation
This mini-course 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/gr-qc/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
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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: Mach-Zehnder interferometer, Elitzur-Vaidman bomb tester, (b) The quantum-Zeno effect. (c) The no cloning theorem. (d) Quantum optics (single mode). Hong-Ou-Mandel dip. Part II Conceptual and interpretational issues. (a) Axioms for quantum theory for pure states. (b) Von-Neumann measurement model. * (c) The measurement (or reality) problem. (d) EPR Einstein’s 1927 remarks, the Einstein-Podolsky-Rosen argument. (e) Bell’s theorem, nonlocality without inequalities. The Tirolson bound. (f) The Kochen-Specker theorem and related work by Spekkens (g) On the reality of the wavefunction: Epistemic versus ontic interpretations of the wavefunction and the Pusey-Barrett-Rudolph 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 Broglie-Bohm interpretation, the many worlds interpretation, wave-function 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.
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Standard Model (2022/2023)
Topics will include: Non-abelian gauge theory (aka Yang-Mills theory), the Standard Model (SM) as a particular non-abelian gauge theory (its gauge symmetry, particle content, and Lagrangian, Yukawa couplings, CKM matrix, 3 generations), spontaneous symmetry breaking: global vs local symmetries (Goldstone's Theorem vs Higgs Mechanism; mass generation for bosons and fermions), neutrino sector (including right-handed neutrinos?), effective field theory, Feynman rules (Standard Model propagators and vertices), gauge and global anomalies, strong CP problem, renormalization group (beta functions, asymptotic freedom, quark confinement, mesons, baryons, Higgs instability, hierarchy problem), unexplained puzzles in the SM, and surprising/intriguing aspects of SM structure that hint at a deeper picture. -
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, Gauss-Codazzi formalism, and variational principles (Einstein-Hilbert action & Gibbons-Hawking term). Several topics in black hole physics including the Kerr solution, black hole astrophysics, higher-dimensional black holes, black hole thermodynamics, Euclidean action, and Hawking radiation will be covered. Additional advanced topics will include domain walls, brane world scenarios, Kaluza-Klein theory and KK black holes, Gregory-Laflamme instability, and gravitational instantons