Crowdsourcing human common sense for quantum control
| Autor: | Shaeema Zaman Ahmed, Klaus Mølmer, C. A. Weidner, Jesper Hasseriis Mohr Jensen, Jacob F. Sherson, Janet Rafner, Miroslav Gajdacz, Jakub Herman Czarkowski, Jens Jakob Sørensen |
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| Rok vydání: | 2020 |
| Předmět: |
Quantum Physics
Computer Science::Computer Science and Game Theory Quantum optimal control Theoretical computer science business.industry Computer science Suite media_common.quotation_subject Quantum control FOS: Physical sciences Common sense Crowdsourcing 01 natural sciences 010305 fluids & plasmas 0103 physical sciences 010306 general physics business Quantum Physics (quant-ph) media_common |
| Zdroj: | Jensen, J H M, Gajdacz, M, Ahmed, S Z, Czarkowski, J H, Weidner, C A, Rafner, J F, Sørensen, J J W H, Mølmer, K & Sherson, J 2021, ' Crowdsourcing human common sense for quantum control ', Physical Review Research, bind 3, nr. 1, 013057 . https://doi.org/10.1103/PhysRevResearch.3.013057 Physical Review Research |
| DOI: | 10.48550/arxiv.2004.03296 |
| Popis: | 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. Comment: 15 figures |
| Databáze: | OpenAIRE |
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