Crowdsourcing human common sense for quantum control
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 optimizat...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2021-01-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.3.013057 |
| _version_ | 1797211118733623296 |
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| author | Jesper Hasseriis Mohr Jensen Miroslav Gajdacz Shaeema Zaman Ahmed Jakub Herman Czarkowski Carrie Weidner Janet Rafner Jens Jakob Sørensen Klaus Mølmer Jacob Friis Sherson |
| author_facet | Jesper Hasseriis Mohr Jensen Miroslav Gajdacz Shaeema Zaman Ahmed Jakub Herman Czarkowski Carrie Weidner Janet Rafner Jens Jakob Sørensen Klaus Mølmer Jacob Friis Sherson |
| author_sort | Jesper Hasseriis Mohr Jensen |
| collection | DOAJ |
| description | 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. Finally, player seeds show significant statistical advantages over random seeds in the limit of sparse sampling. This highlights the potential for crowdsourcing the solution of future quantum research problems. |
| first_indexed | 2024-04-24T10:21:25Z |
| format | Article |
| id | doaj.art-380fbdef4a9247b08a4246b04541dcdf |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:21:25Z |
| publishDate | 2021-01-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-380fbdef4a9247b08a4246b04541dcdf2024-04-12T17:06:28ZengAmerican Physical SocietyPhysical Review Research2643-15642021-01-013101305710.1103/PhysRevResearch.3.013057Crowdsourcing human common sense for quantum controlJesper Hasseriis Mohr JensenMiroslav GajdaczShaeema Zaman AhmedJakub Herman CzarkowskiCarrie WeidnerJanet RafnerJens Jakob SørensenKlaus MølmerJacob Friis ShersonCitizen 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. Finally, player seeds show significant statistical advantages over random seeds in the limit of sparse sampling. This highlights the potential for crowdsourcing the solution of future quantum research problems.http://doi.org/10.1103/PhysRevResearch.3.013057 |
| spellingShingle | Jesper Hasseriis Mohr Jensen Miroslav Gajdacz Shaeema Zaman Ahmed Jakub Herman Czarkowski Carrie Weidner Janet Rafner Jens Jakob Sørensen Klaus Mølmer Jacob Friis Sherson Crowdsourcing human common sense for quantum control Physical Review Research |
| title | Crowdsourcing human common sense for quantum control |
| title_full | Crowdsourcing human common sense for quantum control |
| title_fullStr | Crowdsourcing human common sense for quantum control |
| title_full_unstemmed | Crowdsourcing human common sense for quantum control |
| title_short | Crowdsourcing human common sense for quantum control |
| title_sort | crowdsourcing human common sense for quantum control |
| url | http://doi.org/10.1103/PhysRevResearch.3.013057 |
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