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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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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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Talk
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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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Fitting models to data using Markov Chain Monte Carlo
Dustin Lang Perimeter Institute for Theoretical Physics
PIRSA:23010076 -
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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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Mathematical Physics Lecture - 230207
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23020005 -
Mathematical Physics Lecture - 230202
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23020004 -
Mathematical Physics Lecture - 230131
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010018 -
Mathematical Physics Lecture - 230127
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010021 -
Mathematical Physics Lecture - 230126
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010017 -
Mathematical Physics Lecture - 230124
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010016 -
Mathematical Physics Lecture - 230119
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010015 -
Mathematical Physics Lecture - 230118
Kevin Costello Perimeter Institute for Theoretical Physics
PIRSA:23010022
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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
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Talk
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Quantum adiabatic speedup on a class of combinatorial optimization problems
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Madelyn Cain Harvard University
- Madelyn Cain
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Towards an artificial Muse for new ideas in Quantum Physics
Mario Krenn Max Planck Institute for the Science of Light
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Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
Friederike Metz L'Ecole Polytechnique Federale de Lausanne (EPFL)
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A Study of Neural Network Field Theories
Anindita Maiti Perimeter Institute for Theoretical Physics
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Representing quantum states with spiking neural networks
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Stefanie Czischek University of Ottawa
- Stefanie Czischek
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Adaptive Quantum State Tomography with Active Learning
Hannah Lange Ludwig-Maximilians-Universität München (LMU)
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Quantum Field Theory II - Lecture 221213
PIRSA:22120005 -
Quantum Field Theory II - Lecture 221212
PIRSA:22120004 -
Quantum Field Theory II - Lecture 221207
PIRSA:22120003 -
Quantum Field Theory II - Lecture 221206
PIRSA:22120002 -
Quantum Field Theory II - Lecture 221205
PIRSA:22120001 -
Quantum Field Theory II - Lecture 221202
PIRSA:22120000 -
Quantum Field Theory II - Lecture 221130
PIRSA:22110011 -
Quantum Field Theory II - Lecture 221128
PIRSA:22110010
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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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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. -
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. -
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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Symmetries Graduate School 2023
The goal of this Winter School on Symmetries is to introduce graduate students to the effectiveness of symmetry principles across subjects and energy scales.
From Noether’s celebrated theorem to the development of the standard model of particle physics, from Landau’s to Wilson’s classification of phases of matter and phase transitions, symmetries have been key to 20th century physics. But in the last decades novel and more subtle incarnations of the symmetry principle have shown us the way to unlocking new and unexpected phases of quantum matter, infrared and holographic properties of the quantum gravitational interaction, as well as to advancements in pure mathematics to mention a few.
The Graduate Winter School on Symmetries will introduce students and young researchers to a variety of applications of the symmetry principle. These will be chosen across contemporary research topics in both theoretical physics and mathematics. Our goal is to create a synergistic environment where ideas and techniques can ultimately spread across disciplines. This will be achieved through a combination of mini-courses, colloquia, and discussion sessions led in collaboration with the students themselves.
https://pirsa.org/C23008
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.
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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. -
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 Yang-Mills 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. -
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. -
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
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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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New Frontiers in Machine Learning and Quantum
This workshop will bring together a group of young trendsetters working at the frontier of machine learning and quantum information. The workshop will feature two days of talks, and ample time for participants to interact and form new collaborations in the inspiring environment of the Perimeter Institute. Topics will include machine learning, quantum field theory, quantum information, and unifying theoretical concepts.
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.
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Quantum Field Theory II (2022/2023)
The course has three parts. In the first part of the course, the path integral formulation of non-relativistic quantum mechanics and the functional integral formulation of quantum field theory are developed. The second part of the course covers renormalization and the renormalization group. Finally, non-abelian gauge theories are quantized using functional integral techniques.