Journal Club for Quantum Physics and Machine Learning



Next Journal Club Meeting: Tuesday, 12th October 2021, 5:30pm CET.

Moritz Reh (Heidelberg University) will present the following paper: Time-dependent variational principle for open quantum systems with artificial neural networks

Abstract: We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representation of a mixed quantum state are adapted dynamically according to the Lindblad master equation by employing a time-dependent variational principle. We illustrate our approach by solving the dissipative quantum Heisenberg model in one and two dimensions for up to 40 spins and by applying it to the simulation of confinement dynamics in the presence of dissipation

Upcoming Journal Club meetings:

Date Time Speaker Affiliation Reference
12th October 2021 5:30pm CET  Moritz Reh  Heidelberg University Time-dependent variational principle for open quantum systems with artificial neural networks
26th October 2021 5:30pm CET  Luca Papariello  Research Studio Austria AG  TBA
9th November 2021 5:30pm CET  Paolo Andrea Erdman  Freie Universität Berlin  Identifying optimal cycles in quantum thermal machines with reinforcement-learning
23rd November 2021 5:30pm CET  Robert Huang  California Institute of Technology Provably efficient machine learning for quantum many-body problems
7th December 2021 5:30pm CET   M. Michael Denner  University of Zürich  TBA
21st December 2021 5:30pm CET  Jonathon Brown  Queen's University Belfast Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems


Past Journal Club Meetings:

Date Time Speaker Affiliation Reference
15th June 2021 4:30pm CET Nishad Maskara Harvard University A learning algorithm with emergent scaling behavior for classifying phase transitions
1st June 2021 4:30pm CET Rouven Koch Aalto University Neural network enhanced hybrid quantum many-body dynamical distributions
18th May 2021 4:30pm CET Wei Chen  PUC Rio de Janeiro A supervised learning algorithm for interacting topological insulators based on local curvature
4th May 2021 4:30pm CET  Agnes Valenti ETH Zürich  Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
20th April 2021 4:30pm CET  Rui Lin  ETH Zürich 

Minimal model of permutation symmetry in unsupervised learning


6th April 2021 4:30pm CET  Miriam Büttner  University of Freiburg

Learning Potentials of Quantum Systems using Deep Neural Networks


 23rd March 2021 4:30pm CET Luuk Coopmans  Trinity College Dublin/Dublin Institute for Advanced Studies Protocol Discovery for the Quantum Control of Majoranas by Differential Programming and Natural Evolution Strategies
 9th March 2021 4:30pm CET  Axel Lode University of Freiburg

Interpretable Phase Detection and Classification with Persistent Homology


 23rd February 2021  4:30pm CET  Evert van Nieuwenburg  University of Copenhagen A NEAT Quantum Error Decoder
 9th February 2021  3pm CET  Shahnawaz Ahmed  Chalmers University of  Technology Classification and reconstruction of optical quantum states with deep neural networks 
 26th January 2021  3pm CET  Julian Arnold  University of Basel Interpretable and unsupervised phase classification
 12th January 2021  3pm CET  Paolo Molignini  University of Cambridge

Scientific intuition inspired by machine learning generated hypotheses


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