Format results
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Universal Prethermal Dynamics in Quantum Magnets and Fracton Fluids - Class 03 of 03
Joaquin Rodriguez-Nieva -
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Universal Prethermal Dynamics in Quantum Magnets and Fracton Fluids - Class 02 of 03
Joaquin Rodriguez-Nieva -
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Multipolar spin liquid in an exactly solvable model for J = 3/2 moments
Vanuildo S. Carvalho -
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Hybridization induced superconductivity in non-interacting chains
Mucio Continentino -
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Wilson loops and integrability in Chern-Simons-matter theories
Diego Hernán Correa -
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Network epidemiology: A complex systems' approach towards epidemic control
Jesús Gomez-Gardeñes -
Complex networks and applications to neuroscience. - Class 3 of 3
Jesús Gomez-Gardeñes
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Quantum Ethics Project Workshop: Teaching and incorporating ethics into quantum
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Anna Knörr Harvard University
- Sara Marsh, Joan Arrow
PIRSA:23050104 -
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Cosmology
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Matthew Johnson York University
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Jessica Muir University of Cincinnati
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Supernovae Remnants and PeVatrons: Acceleration and Propagation
Rita de Cássia dos Anjos -
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School on Modern Amplitude Methods for Gauge and Gravity Theories
School on Modern Amplitude Methods for Gauge and Gravity Theories
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2023 Perimeter-SAIFR Journeys into Theoretical Physics
2023 Perimeter-SAIFR Journeys into Theoretical Physics
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School on Emergent Phenomena in Non-Equilibrium Quantum Many-Body Systems
School on Emergent Phenomena in Non-Equilibrium Quantum Many-Body Systems
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Workshop on Strong Electron Correlations in Quantum Materials: Inhomogeneities, Frustration, and Topology
Workshop on Strong Electron Correlations in Quantum Materials: Inhomogeneities, Frustration, and Topology
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Introductory Minicourse on AdS-CFT
Introductory Minicourse on AdS-CFT
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School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience
School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience
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Quantum and AI Career Trajectories Mini-Course: Computational Methods and their Applications
Research at the intersection of quantum physics and artificial intelligence is rapidly growing in academia and industry. This one-week mini-course will introduce a selection of computational methods currently being applied in quantum industry settings and will highlight career opportunities outside of academia for students and researchers with a background in quantum theory and computational physics. The course will consist of two lecture series: one on generative modeling (including restricted Boltzmann machines, neural autoregressive distribution estimators, and recurrent neural networks) by Perimeter researchers Roger Melko and Mohamed Hibat Allah, and another lecture series on tensor networks and quantum algorithms by Martin Ganahl of SandboxAQ. Afternoons will include coding tutorials, workshops, talks from speakers who have transitioned from academia to quantum industry, and career networking opportunities.
Confirmed guests for the Industry networking session are:
- 1QBit
- Agnostiq
- Amazon Web Services
- IBM Quantum
- Nord Quantique
- Quantum Valley Ideas Laboratories
- SandboxAQ
- Xanadu
- YiyaniQ
- ZebraKet
This mini-course will assume that participants have the following prerequisites:
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Graduate-level knowledge of quantum mechanics (including wavefunctions, single-body quantum mechanics, Hamiltonians, density matrices, time evolution, and angular momentum) and statistical mechanics (including partition functions, the Ising model, and phase transitions),
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Knowledge of introductory machine learning methods (see, for instance, Lectures 1-6 of Perimeter’s course on Machine Learning for Many-Body Physics), and
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Basic programming skills in Python.
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Latin-American School on CTA Science
Latin-American School on CTA Science