Journal Club for Quantum Physics and Machine Learning

Schedule

 

Next Journal Club Meeting: Tuesday, 21st November 2021, 5:30pm CET.

Jonathon Brown (Queen's University Belfast) will present the following paper: Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems

Abstract: We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-level system. We constraint our strategy to the case of fixed coupling rates but time-varying detunings, a situation that would simplify considerably the implementation of population transfer in relevant experimental platforms, such as semiconducting and superconducting ones. Our approach is able to explore the space of possible control protocols to reveal the existence of efficient protocols that, remarkably, differ from (and can be superior to) standard Raman, STIRAP or other adiabatic schemes. The new protocols that we identify are robust against both energy losses and dephasing.

Upcoming Journal Club meetings:

Date Time Speaker Affiliation Reference
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
7th December 2021 5:30pm CET M. Michael Denner University of Zürich Efficient learning of a one-dimensional density functional theory
23rd November 2021  5:30pm CET  Robert Huang California Institute of Technology Provably efficient machine learning for quantum many-body problems
9th November 2021  5:30pm CET Paolo Andrea Erdman Freie Universität Berlin  Identifying optimal cycles in quantum thermal machines with reinforcement-learning
26th October 2021  5:30pm CET Maciej Koch-Janusz  University of Zurich /  University of Chicago Relevant operators and symmetries through the lens of real-space mutual information
12th October 2021 5:30pm CET Moritz Reh Heidelberg University Time-dependent variational principle for open quantum systems with artificial neural networks
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

Slides

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

Learning Potentials of Quantum Systems using Deep Neural Networks

Slides

 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

Slides

 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

Slides

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