Journal Club for Quantum Physics and Machine Learning



Next Journal Club Meeting: Tuesday, 1st June 2021, 4:30pm CET.

Rouven Koch (Aalto University) will present the following paper: Neural network enhanced hybrid quantum many-body dynamical distributions

Abstract: Computing dynamical distributions in quantum many-body systems represents one of the paradigmatic open problems in theoretical condensed matter physics. Despite the existence of different techniques both in real-time and frequency space, computational limitations often dramatically constrain the physical regimes in which quantum many-body dynamics can be efficiently solved. Here we show that the combination of machine learning methods and complementary many-body tensor network techniques substantially decreases the computational cost of quantum many-body dynamics. We demonstrate that combining kernel polynomial techniques and real-time evolution, together with deep neural networks, allows to compute dynamical quantities faithfully. Focusing on many-body dynamical distributions, we show that this hybrid neural-network many-body algorithm, trained with single-particle data only, can efficiently extrapolate dynamics for many-body systems without prior knowledge. Importantly, this algorithm is shown to be substantially resilient to numerical noise, a feature of major importance when using this algorithm together with noisy many-body methods. Ultimately, our results provide a starting point towards neural-network powered algorithms to support a variety of quantum many-body dynamical methods, that could potentially solve computationally expensive many-body systems in a more efficient manner.

Upcoming Journal Club meetings:

Date Time Speaker Affiliation Reference
1st June 2021 4:30pm CET  Rouven Koch  Aalto University Neural network enhanced hybrid quantum many-body dynamical distributions
15th June 2021 4:30pm CET  Nishad Maskara  Harvard University  A learning algorithm with emergent scaling behavior for classifying phase transitions
29th June 2021 4:30pm CET  TBA  TBA  TBA


Past Journal Club Meetings:

Date Time Speaker Affiliation Reference
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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