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Talk
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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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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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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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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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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. -
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. -
Probabilistic Methods in Negative Curvature
This will be a follow-up of the March 2019 workshop and the 2021 online workshop. As before, the program lies at the juncture of three areas:(1) Probability theory of random processes on negatively curved spaces.(2) Ergodic theory and hyperbolic dynamics (3) hyperbolic geometry.1. Probability:The 2019 workshop laid stress on random walks, while the 2021 workshop emphasized Bernoulli percolation among topics allied with probability. While random walks on hyperbolic groups have received some attention, other random processes, such as first and last passage percolation, are in a barely nascent state. This is not due to a dearth of problems but rather that people with a dual expertise in both the relevant probabilistic methods and a feel for the geometry of negatively curved spaces, are rare.The 2021 workshop addressed this lacuna by having a set of talks on Bernoulli percolation. The 2023 workshop will deal with more advanced themes like Liouville quantum gravity.2. Ergodic theory: Invar...
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Probabilistic Methods in Negative Curvature
This will be a follow-up of the March 2019 workshop and the 2021 online workshop. As before, the program lies at the juncture of three areas:(1) Probability theory of random processes on negatively curved spaces.(2) Ergodic theory and hyperbolic dynamics (3) hyperbolic geometry.1. Probability:The 2019 workshop laid stress on random walks, while the 2021 workshop emphasized Bernoulli percolation among topics allied with probability. While random walks on hyperbolic groups have received some attention, other random processes, such as first and last passage percolation, are in a barely nascent state. This is not due to a dearth of problems but rather that people with a dual expertise in both the relevant probabilistic methods and a feel for the geometry of negatively curved spaces, are rare.The 2021 workshop addressed this lacuna by having a set of talks on Bernoulli percolation. The 2023 workshop will deal with more advanced themes like Liouville quantum gravity.2. Ergodic theory: Invar...
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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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Topics in Hodge Theory (HYBRID)
This is a followup discussion meeting on complex and algebraic geometry involving the below speakers.1. Jose Ignacio Butgos GilArakelov theory, equidistribution and algebraic dynamics: The famous Bogomolov conjecture states that, given a curve C of genus bigger or equal than 2 and defined over a number field, then there exists a number ε > 0 such that the set of algebraic points of C whose N eron–Tate height is smaller that ε is finite. This conjecture was proved by Ullmo and Zhang at the end of last century, based on a pioneering work of Szpiro, Ullmo and Zhang on equidistribution of points of small height. Arakelov theory brings geometric intuition to arithmetic and is a natural framework where to study heights and many questions related to equidistribution. In this course we will give an introduction to heights using Arakelov theory, we will discuss classical equidistribution results and their applications, putting on equal foot the arithmetic and the geometric setting. Finally we w...
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Second Preparatory School on Population Genetics and Evolution
We plan an intensive 1-week preparatory school, where participants interested in but new to population genetics can learn key mathematical concepts and tools (for students from a biology background), and important concepts and basic knowledge of biology and genetics (for students from a non-biology background). Scheduled a year before the next main ICTS population genetics school in 2024, the preparatory school will allow participants to strengthen their basic skills and understanding, allowing them to make the most of advanced lectures from experts in the main school. Participants will be asked to come prepared with a basic understanding of biology and computer programming and mathematics (based on suggested reading and other resources provided by email), and lectures during school will help them solidify their understanding and use it to solve simple but interesting problems in population genetics and evolution. The lectures will cover topics such as basic evolutionary forces, neutra...
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Topics in Hodge Theory (HYBRID)
This is a followup discussion meeting on complex and algebraic geometry involving the below speakers.1. Jose Ignacio Butgos GilArakelov theory, equidistribution and algebraic dynamics: The famous Bogomolov conjecture states that, given a curve C of genus bigger or equal than 2 and defined over a number field, then there exists a number ε > 0 such that the set of algebraic points of C whose N eron–Tate height is smaller that ε is finite. This conjecture was proved by Ullmo and Zhang at the end of last century, based on a pioneering work of Szpiro, Ullmo and Zhang on equidistribution of points of small height. Arakelov theory brings geometric intuition to arithmetic and is a natural framework where to study heights and many questions related to equidistribution. In this course we will give an introduction to heights using Arakelov theory, we will discuss classical equidistribution results and their applications, putting on equal foot the arithmetic and the geometric setting. Finally we w...
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Second Preparatory School on Population Genetics and Evolution
We plan an intensive 1-week preparatory school, where participants interested in but new to population genetics can learn key mathematical concepts and tools (for students from a biology background), and important concepts and basic knowledge of biology and genetics (for students from a non-biology background). Scheduled a year before the next main ICTS population genetics school in 2024, the preparatory school will allow participants to strengthen their basic skills and understanding, allowing them to make the most of advanced lectures from experts in the main school. Participants will be asked to come prepared with a basic understanding of biology and computer programming and mathematics (based on suggested reading and other resources provided by email), and lectures during school will help them solidify their understanding and use it to solve simple but interesting problems in population genetics and evolution. The lectures will cover topics such as basic evolutionary forces, neutra...