Course

Displaying 793 - 804 of 5595

Quantum Information and holography
- Aaron Szasz Alphabet (United States)
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 03, 2022

PIRSA:22050004
Cosmology (2021/2022)
- Kendrick Smith Perimeter Institute for Theoretical Physics
- Gang Xu Perimeter Institute for Theoretical Physics
May 02, 2022

PIRSA:22050012
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

May 02, 2022

PIRSA:22050009
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

May 02, 2022

PIRSA:22050007
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 29, 2022

PIRSA:22040101
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 29, 2022

PIRSA:22040099
Machine Learning (2021/2022)

Mohamed Hibat Allah

April 28, 2022

PIRSA:22040075
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 28, 2022

PIRSA:22040063
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli
April 27, 2022

PIRSA:22040098
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
May 03, 2022

PIRSA:22050004

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
May 02, 2022

PIRSA:22050012

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

May 02, 2022

PIRSA:22050009

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

May 02, 2022

PIRSA:22050007

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.
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

April 29, 2022

PIRSA:22040101

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 29, 2022

PIRSA:22040099

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 (2021/2022)

Mohamed Hibat Allah

April 28, 2022

PIRSA:22040075

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 28, 2022

PIRSA:22040063

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 27, 2022

PIRSA:22040098

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 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.

Title	Speaker(s)	Date	Talk Type	Info link
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-05-03	Course	View details
Cosmology (2021/2022)	Kendrick Smith, Gang Xu	2022-05-02	Course	View details
Machine Learning (2021/2022)	Lauren Hayward	2022-05-02	Course	View details
Quantum Gravity	Aldo Riello	2022-05-02	Course	View details
Quantum Gravity	Aldo Riello	2022-04-29	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-04-29	Course	View details
Machine Learning (2021/2022)	Mohamed Hibat Allah	2022-04-28	Course	View details
Quantum Gravity	Aldo Riello	2022-04-28	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-04-27	Course	View details
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

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Format results

Quantum Information and holography

Cosmology (2021/2022)

Machine Learning (2021/2022)

Quantum Gravity

Quantum Gravity

Strong Gravity

Machine Learning (2021/2022)

Quantum Gravity

Strong Gravity

Quantum Information and holography

Machine Learning (2021/2022)

Strong Gravity

Quantum Information and holography

Cosmology (2021/2022)

Machine Learning (2021/2022)

Quantum Gravity

Quantum Gravity

Strong Gravity

Machine Learning (2021/2022)

Quantum Gravity

Strong Gravity

Quantum Information and holography

Machine Learning (2021/2022)

Strong Gravity