Format results

Talk

Can one region of space encode another?
Charlie Cummings University of Pennsylvania

Mathematics, Physics, and Machine Learning
Sergei Gukov California Institute of Technology (Caltech)  Division of Physics Mathematics & Astronomy



Loopcorrected soft photon theorems and large gauge transformations
Sangmin Choi École Polytechnique

Carrollian cfunctions and flat space holographic RG flows
Daniel Grumiller Technische Universität Wien


Analyticity properties of 2d Ising Field Theories
HaoLan Xu Stony Brook University


Talk

Deep Learning Convolutions Through the Lens of Tensor Networks
Felix Dangel Vector Institute for Artificial Intelligence

Quantum metrology in the finitesample regime  VIRTUAL
Johannes Meyer Freie Universität Berlin


4partite QuantumAssisted VAE as a calorimeter surrogate
Javier Toledo Marín TRIUMF (Canada's National Laboratory for Particle and Nuclear Physics)

The Quantization Model of Neural Scaling
Eric Michaud Massachusetts Institute of Technology (MIT)



Quantum chemistry methods to study strongly correlated systems – from variational to machine learning approaches
Debashree Ghosh Indian Association for the Cultivation of Science


Talk

Illuminating the 130 GeV Gamma Line with Continuum Photons
Miriangela Lisanti Princeton University



Talk

Towards Matter Inflation in Heterotic String Theory
Sebastian Halter Max Planck Institute for Physics, Munich (WernerHeisenbergInstitut)


The Eddington Limit in Cosmic Rays
Aristotle Socrates Institute for Advanced Study (IAS)

Resonant Tunneling in Superfluid Helium3
Dan Wohns Perimeter Institute for Theoretical Physics



Talk

Geometric algebra techniques in flux compactifications
Calin Lazaroiu Horia Hulubei National Institute of Physics and Nuclear Engineering

Hot spacetime for cold atoms
Allan Adams Massachusetts Institute of Technology (MIT)  Department of Physics

Introduction to AdS/CFT with Flavour
Rene Meyer MaxPlanck Gesellschaft

Abelian fibrations, string junctions and Flux/Geometry duality
Peng Gao ExodusPoint Capital

Nearintegrability of 2+1dimensional YangMills theories
Peter Orland City University of New York (CUNY)  Department of Physics


Talk



Generalized angular momentum via WaldZoupas
Antoine RIGNONBRET AixMarseille University

(Weyl)FeffermanGraham asymptotic symmetries
Arnaud Delfante University of Mons

Model for emergence of spacetime from fluctuations
Barbara Soda Perimeter Institute for Theoretical Physics

Gravitational Observatories
Dionysios Anninos King's College London

3 short stories about the quantum <> gravity interface
Etera Livine French National Centre for Scientific Research (CNRS)

Metric signature transitions and the cosmological constant
Steffen Gielen University of Sheffield


Talk


Causality and positivity in causally complex operational probabilistic theories
Lucien Hardy Perimeter Institute for Theoretical Physics

Quantum Prison Break and the Infinitesimal Limit of Quantum Teleportation
Barbara Soda Perimeter Institute for Theoretical Physics

A theory of Inaccessible Information
Jacopo Surace Perimeter Institute for Theoretical Physics



Higherorder transformations and the causal structure of quantum processes
Hlér Kristjánsson Perimeter Institute for Theoretical Physics

Correlations, representations and transformers in physics and in AI
Achim Kempf University of Waterloo


Quantum Fields and Strings
This series consists of talks in the area of Quantum Fields and Strings. 
Machine Learning Initiative
The adoption of machine learning (ML) into theoretical physics comes on the heels of an explosion of industry progress that started in 2012. Since that time, computer scientists have demonstrated that learning algorithms  those designed to respond and adapt to new data  provide an exceptionally powerful platform for tackling many difficult tasks in image recognition, natural language comprehension, game play and more. This new breed of ML algorithm has now conquered benchmarks previously thought to be decades away due to their high mathematical complexity. In the last several years, researchers at Perimeter have begun to examine machine learning algorithms for application to a new set of problems, including condensed matter, quantum information, numerical relativity, quantum gravity and astrophysics. 
Particle Group Meeting
This series consists of talks in the area of Condensed Matter. 
Cosmology Talks
This series consists of discussions in the areas of Cosmology and Particle Physics. 
Strings Group Meeting
These talks are informal discussion in the area of Superstring Theory. Formal talks are part of the Strings Seminar series above 
Quantum Gravity
This series consists of talks in the area of Quantum Gravity. 
Quantum Foundations
This series consists of talks in the areas of Quantum Foundations.