Crowdsourcing human common sense for quantum control
Abstract
Citizen science methodologies have over the past decade been applied with great success to help solve highly complex numerical challenges. Here, we take early steps in the quantum physics arena by introducing a citizen science game, Quantum Moves 2, and compare the performance of different optimization methods across three different quantum optimal control problems of varying difficulty. Inside the game, players can apply a gradient-based algorithm (running locally on their device) to optimize their solutions and we find that these results perform roughly on par with the best of the tested standard optimization methods performed on a computer cluster. In addition, cluster-optimized player seeds was the only method to exhibit roughly optimal performance across all three challenges. This highlights the potential for crowdsourcing the solution of future quantum research problems.
Keywords
Cite
@article{arxiv.2004.03296,
title = {Crowdsourcing human common sense for quantum control},
author = {Jesper Hasseriis Mohr Jensen and Miroslav Gajdacz and Shaeema Zaman Ahmed and Jakub Herman Czarkowski and Carrie Weidner and Janet Rafner and Jens Jakob Sørensen and Klaus Mølmer and Jacob Friis Sherson},
journal= {arXiv preprint arXiv:2004.03296},
year = {2021}
}
Comments
15 figures