Course

Displaying 1 - 12 of 4815

Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
May 06, 2022 PIRSA:22050016
Quantum Information and holography
- Aaron Szasz Perimeter Institute for Theoretical Physics
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 06, 2022 PIRSA:22050006
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

May 05, 2022 PIRSA:22050011
Quantum Gravity

Aldo Riello Perimeter Institute for Theoretical Physics

May 05, 2022 PIRSA:22050008
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
May 04, 2022 PIRSA:22050015
Quantum Information and holography
- Aaron Szasz Perimeter Institute for Theoretical Physics
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 04, 2022 PIRSA:22050005
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
May 03, 2022 PIRSA:22050014
Machine Learning (2021/2022)

Lauren Hayward Perimeter Institute for Theoretical Physics

May 03, 2022 PIRSA:22050010
Quantum Information and holography
- Aaron Szasz Perimeter Institute for Theoretical Physics
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 03, 2022 PIRSA:22050004
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
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
April 29, 2022 PIRSA:22040099

Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
May 06, 2022 PIRSA:22050016

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 Perimeter Institute for Theoretical Physics
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 06, 2022 PIRSA:22050006

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

May 05, 2022 PIRSA:22050011

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 05, 2022 PIRSA:22050008

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 Perimeter Institute for Theoretical Physics
May 04, 2022 PIRSA:22050015

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 Perimeter Institute for Theoretical Physics
- Beni Yoshida Perimeter Institute for Theoretical Physics
May 04, 2022 PIRSA:22050005

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
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
May 03, 2022 PIRSA:22050014

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)

Lauren Hayward Perimeter Institute for Theoretical Physics

May 03, 2022 PIRSA:22050010

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 Information and holography
- Aaron Szasz Perimeter Institute for Theoretical Physics
- 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
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.
Strong Gravity
- William East Perimeter Institute for Theoretical Physics
- Giuseppe Sellaroli Perimeter Institute for Theoretical Physics
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.

Title	Speaker(s)	Date	Talk Type	Info link
Strong Gravity	William East, Giuseppe Sellaroli	2022-05-06	Course	View details
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-05-06	Course	View details
Machine Learning (2021/2022)	Lauren Hayward	2022-05-05	Course	View details
Quantum Gravity	Aldo Riello	2022-05-05	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-05-04	Course	View details
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-05-04	Course	View details
Strong Gravity	William East, Giuseppe Sellaroli	2022-05-03	Course	View details
Machine Learning (2021/2022)	Lauren Hayward	2022-05-03	Course	View details
Quantum Information and holography	Aaron Szasz, Beni Yoshida	2022-05-03	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
Strong Gravity	William East, Giuseppe Sellaroli	2022-04-29	Course	View details

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