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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
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
Faster quantum and classical SDP approximations for quadratic binary optimization
We give a quantum speedup for solving the canonical semidefinite programming relaxation for binary quadratic optimization. The class of relaxations for combinatorial optimization has so far eluded quantum speedups. Our...
Oct 28, 2019
Introduction to Machine Learning
Machine learning has led to recent advancements in image processing, language translation, finance, robotics, musical and visual arts, and medical diagnosis. In this session, we will explore how machine learning...
Oct 29, 2019