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Entanglement features of random neural network quantum states
Neural networks offer a novel approach to represent wave functions for solving quantum many-body problems. But what kinds of quantum states are efficiently represented by neural networks? In this talk...
Nov 18, 2022
Anakin's story from Star Wars soundtracks
We shall explore the genius of John Williams when it comes to tell stories through his soundtracks. Since the full analysis of Anakin’s life is still a work in progress...
Oct 24, 2022
Tips for giving a great talk
Zoom link: https://pitp.zoom.us/j/92724220960?pwd=NFY5TEl5VE9QbE5hdVJrdUJHVUZPdz09
Oct 17, 2022
Quantum complexity, irreversibility, learnability and fluctuations.
Quantum complexity is a notion characterizing the universality of the entanglement arising from a quantum evolution. A universal evolution will result in a complex entanglement. At the same time, this...
Oct 10, 2019
The Einstein Toolkit
One of the best known open-source tools for studying numerical relativity is the Einstein Toolkit. With it, you can simulate collisions of black holes and neutron stars, and study their...
Oct 15, 2019
Symmetries, Duality, and the Unity of Physics
Global symmetries and gauge symmetries have played a crucial role in physics. The idea of duality demonstrates that gauge symmetries can be emergent and might not be fundamental. During the...
Oct 16, 2019
Logarithmic Sobolev Inequalities for Quantum Many-Body Systems.
The mixing time of Markovian dissipative evolutions of open quantum many-body systems can be bounded using optimal constants of certain quantum functional inequalities, such as the logarithmic Sobolev constant. For...
Oct 16, 2019
Integrable line defects and 4d Chern-Simons theory
I discuss an application of a recent construction of 2d integrable field theories from 4d Chern-Simons theory by Costello and Yamazaki. After a review of the construction, I consider integrable...
Oct 17, 2019
Parallel programming in Python
Making use of modern multi-core computers (and multi-machine supercomputers) in Python can be achieved in a few different ways. I will present the built-in Python “multiprocessing” module approach, which tends...
Oct 22, 2019
Equivariant localization and Atiyah-Segal completion for Hochschild and cyclic homology
There is a close relationship between derived loop spaces, a geometric object, and Hochschild homology, a categorical invariant, made possible by derived algebraic geometry, thus allowing for both intuitive insights...
Oct 24, 2019