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Strings 2023
The Perimeter Institute for Theoretical Physics is delighted to host the 33rd installment of Strings, the flagship annual conference for the extended string theory community.
Strings 2023 will take place at PI July 2429. Capacity is limited to 200 inperson attendees. The programming will incorporate an interactive simulcast for virtual attendees.
Save the date!Organizing Committee: Sabrina Pasterski,* Freddy Cachazo, Kevin Costello, Davide Gaiotto, Jaume Gomis, Rob Myers, Pedro Vieira, & Alex Buchel.
Territorial Land Acknowledgement
Perimeter 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.

Machine Learning for Quantum ManyBody Systems
Machine learning techniques are rapidly being adopted into the field of quantum manybody physics, including condensed matter theory, experiment, and quantum information science. The steady increase in data being produced by highlycontrolled quantum experiments brings the potential of machine learning algorithms to the forefront of scientific advancement. Particularly exciting is the prospect of using machine learning for the discovery and design of molecules, quantum materials, synthetic matter, and computers. In order to make progress, the field must address a number of fundamental questions related to the challenges of studying manybody quantum mechanics using classical computing algorithms and hardware.
The goal of this conference is to bring together experts in computational physics, machine learning, and quantum information, to make headway on a number of related topics, including:
 Datadrive quantum state reconstruction
 Machine learning strategies for quantum error correction and quantum control
 Neuralnetwork inspired wavefunctions
 Nearterm prospects for data from quantum devices
 Machine learning for quantum algorithm discoveryRegistration will open soon.
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.

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. 
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. 
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. 
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. 
Machine Learning for ManyBody Physics (2022/2023)
This course is designed to introduce machine learning techniques for studying classical and quantum manybody 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. 
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: MachZehnder interferometer, ElitzurVaidman bomb tester, (b) The quantumZeno effect. (c) The no cloning theorem. (d) Quantum optics (single mode). HongOuMandel dip. Part II Conceptual and interpretational issues. (a) Axioms for quantum theory for pure states. (b) VonNeumann measurement model. * (c) The measurement (or reality) problem. (d) EPR Einstein’s 1927 remarks, the EinsteinPodolskyRosen argument. (e) Bell’s theorem, nonlocality without inequalities. The Tirolson bound. (f) The KochenSpecker theorem and related work by Spekkens (g) On the reality of the wavefunction: Epistemic versus ontic interpretations of the wavefunction and the PuseyBarrettRudolph 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 BroglieBohm interpretation, the many worlds interpretation, wavefunction 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.

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 minicourses, colloquia, and discussion sessions led in collaboration with the students themselves.
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.

Quantum Field Theory II (2022/2023)
The course has three parts. In the first part of the course, the path integral formulation of nonrelativistic 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, nonabelian gauge theories are quantized using functional integral techniques.

Statistical Physics (2022/2023)
The course begins by discussing several topics in equilibrium statistical physics including phase transitions and the renormalization group. The second part of the course covers nonequilibrium statistical physics including kinetics of aggregation, spin dynamics, population dynamics, and complex networks.

Special Topics in Physics  QFT2: Quantum Electrodynamics (Cliff Burgess)
This course uses quantum electrodynamics (QED) as a vehicle for covering several more advanced topics within quantum field theory, and so is aimed at graduate students that already have had an introductory course on quantum field theory. Among the topics hoped to be covered are: gauge invariance for massless spin1 particles from special relativity and quantum mechanics; Ward identities; photon scattering and loops; UV and IR divergences and why they are handled differently; effective theories and the renormalization group; anomalies.