Course

Displaying 781 - 792 of 5574

Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 27, 2022

PIRSA:22040054
Machine Learning (2021/2022)

Mohamed Hibat Allah

April 26, 2022

PIRSA:22040074
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 26, 2022

PIRSA:22040097
Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 26, 2022

PIRSA:22040053
Cosmology (2021/2022)
- Kendrick Smith Perimeter Institute for Theoretical Physics
- Gang Xu Perimeter Institute for Theoretical Physics
April 25, 2022

PIRSA:22040085
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

April 25, 2022

PIRSA:22040073
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 25, 2022

PIRSA:22040062
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 25, 2022

PIRSA:22040095
Cosmology (2021/2022)
- Kendrick Smith Perimeter Institute for Theoretical Physics
- Gang Xu Perimeter Institute for Theoretical Physics
April 22, 2022

PIRSA:22040084
Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 22, 2022

PIRSA:22040052
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

April 21, 2022

PIRSA:22040072
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 21, 2022

PIRSA:22040061

Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 27, 2022

PIRSA:22040054

Topics will include (but are not limited to): - Quantum error correction in quantum gravity and condensed matter - Quantum information scrambling and black hole information - Physics of random tensor networks and random unitary circuits
Machine Learning (2021/2022)

Mohamed Hibat Allah

April 26, 2022

PIRSA:22040074

This course is designed to introduce modern machine learning techniques for studying classical and quantum many-body problems encountered in condensed matter, quantum information, and related fields of physics. Lectures will focus on introducing machine learning algorithms and discussing how they can be applied to solve problem in statistical physics. Tutorials and homework assignments will concentrate on developing programming skills to study the problems presented in lecture.
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 26, 2022

PIRSA:22040097

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 and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 26, 2022

PIRSA:22040053

Topics will include (but are not limited to): - Quantum error correction in quantum gravity and condensed matter - Quantum information scrambling and black hole information - Physics of random tensor networks and random unitary circuits
Cosmology (2021/2022)
- Kendrick Smith Perimeter Institute for Theoretical Physics
- Gang Xu Perimeter Institute for Theoretical Physics
April 25, 2022

PIRSA:22040085

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.
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

April 25, 2022

PIRSA:22040073

This course is designed to introduce modern machine learning techniques for studying classical and quantum many-body problems encountered in condensed matter, quantum information, and related fields of physics. Lectures will focus on introducing machine learning algorithms and discussing how they can be applied to solve problem in statistical physics. Tutorials and homework assignments will concentrate on developing programming skills to study the problems presented in lecture.
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 25, 2022

PIRSA:22040062

Topics will include (but are not limited to): Canonical formulation of constrained systems, The Dirac program, First order formalism of gravity, Loop Quantum Gravity, Spinfoam models, Research at PI and other approaches to quantum gravity.
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 25, 2022

PIRSA:22040095

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.
Cosmology (2021/2022)
- Kendrick Smith Perimeter Institute for Theoretical Physics
- Gang Xu Perimeter Institute for Theoretical Physics
April 22, 2022

PIRSA:22040084

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.
Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
April 22, 2022

PIRSA:22040052

Topics will include (but are not limited to): - Quantum error correction in quantum gravity and condensed matter - Quantum information scrambling and black hole information - Physics of random tensor networks and random unitary circuits
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

April 21, 2022

PIRSA:22040072

This course is designed to introduce modern machine learning techniques for studying classical and quantum many-body problems encountered in condensed matter, quantum information, and related fields of physics. Lectures will focus on introducing machine learning algorithms and discussing how they can be applied to solve problem in statistical physics. Tutorials and homework assignments will concentrate on developing programming skills to study the problems presented in lecture.
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 21, 2022

PIRSA:22040061

Topics will include (but are not limited to): Canonical formulation of constrained systems, The Dirac program, First order formalism of gravity, Loop Quantum Gravity, Spinfoam models, Research at PI and other approaches to quantum gravity.

Title	Speaker(s)	Date	Talk Type	Info link
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-04-27	Course	View details
Machine Learning (2021/2022)	Mohamed Hibat Allah	2022-04-26	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-04-26	Course	View details
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-04-26	Course	View details
Cosmology (2021/2022)	Kendrick Smith, Gang Xu	2022-04-25	Course	View details
Machine Learning (2021/2022)	Lauren Hayward	2022-04-25	Course	View details
Quantum Gravity	Aldo Riello	2022-04-25	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-04-25	Course	View details
Cosmology (2021/2022)	Kendrick Smith, Gang Xu	2022-04-22	Course	View details
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-04-22	Course	View details
Machine Learning (2021/2022)	Lauren Hayward	2022-04-21	Course	View details
Quantum Gravity	Aldo Riello	2022-04-21	Course	View details

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Format results

Quantum Information and holography

Machine Learning (2021/2022)

Strong Gravity

Quantum Information and holography

Cosmology (2021/2022)

Machine Learning (2021/2022)

Quantum Gravity

Strong Gravity

Cosmology (2021/2022)

Quantum Information and holography

Machine Learning (2021/2022)

Quantum Gravity

Quantum Information and holography

Machine Learning (2021/2022)

Strong Gravity

Quantum Information and holography

Cosmology (2021/2022)

Machine Learning (2021/2022)

Quantum Gravity

Strong Gravity

Cosmology (2021/2022)

Quantum Information and holography

Machine Learning (2021/2022)

Quantum Gravity