Wisdom of crowds in quantum machine learning

A collective outcome or decision from a crowd often prevails over that of a single expert. Here we study this phenomenon through the lens of quantum machine learning. We compare the performance of an expert, a highly trained quantum network, to a crowd, several poorly trained ones, for quantum infor...

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Main Authors: Krisnanda, Tanjung, Dini, Kevin, Xu, Huawen, Verstraelen, Wouter, Liew, Timothy Chi Hin
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/168828
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1688282023-06-26T15:34:33Z Wisdom of crowds in quantum machine learning Krisnanda, Tanjung Dini, Kevin Xu, Huawen Verstraelen, Wouter Liew, Timothy Chi Hin School of Physical and Mathematical Sciences MajuLab, International Joint Research Unit UMI 3654 Science::Physics Quantum Machines Wisdom of Crowds A collective outcome or decision from a crowd often prevails over that of a single expert. Here we study this phenomenon through the lens of quantum machine learning. We compare the performance of an expert, a highly trained quantum network, to a crowd, several poorly trained ones, for quantum information processing tasks such as quantum tomography and entanglement recognition. We also show quantum-enhanced performance from a temporal crowd by using time multiplexing on a single poorly trained quantum network. Given the same resources for training, we show that the crowd outperforms the expert by a definitive margin. Ministry of Education (MOE) Published version We acknowledge the support by the Singapore Ministry of Education under its AcRF Tier 2 Grant No. T2EP50121-0006. 2023-06-20T01:35:11Z 2023-06-20T01:35:11Z 2023 Journal Article Krisnanda, T., Dini, K., Xu, H., Verstraelen, W. & Liew, T. C. H. (2023). Wisdom of crowds in quantum machine learning. Physical Review Applied, 19(3), 034010-1-034010-9. https://dx.doi.org/10.1103/PhysRevApplied.19.034010 2331-7019 https://hdl.handle.net/10356/168828 10.1103/PhysRevApplied.19.034010 2-s2.0-85149658309 3 19 034010-1 034010-9 en T2EP50121-0006 Physical Review Applied © 2023 American Physical Society. All rights reserved. This paper was published in Physical Review Applied and is made available with permission of American Physical Society. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
Quantum Machines
Wisdom of Crowds
spellingShingle Science::Physics
Quantum Machines
Wisdom of Crowds
Krisnanda, Tanjung
Dini, Kevin
Xu, Huawen
Verstraelen, Wouter
Liew, Timothy Chi Hin
Wisdom of crowds in quantum machine learning
description A collective outcome or decision from a crowd often prevails over that of a single expert. Here we study this phenomenon through the lens of quantum machine learning. We compare the performance of an expert, a highly trained quantum network, to a crowd, several poorly trained ones, for quantum information processing tasks such as quantum tomography and entanglement recognition. We also show quantum-enhanced performance from a temporal crowd by using time multiplexing on a single poorly trained quantum network. Given the same resources for training, we show that the crowd outperforms the expert by a definitive margin.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Krisnanda, Tanjung
Dini, Kevin
Xu, Huawen
Verstraelen, Wouter
Liew, Timothy Chi Hin
format Article
author Krisnanda, Tanjung
Dini, Kevin
Xu, Huawen
Verstraelen, Wouter
Liew, Timothy Chi Hin
author_sort Krisnanda, Tanjung
title Wisdom of crowds in quantum machine learning
title_short Wisdom of crowds in quantum machine learning
title_full Wisdom of crowds in quantum machine learning
title_fullStr Wisdom of crowds in quantum machine learning
title_full_unstemmed Wisdom of crowds in quantum machine learning
title_sort wisdom of crowds in quantum machine learning
publishDate 2023
url https://hdl.handle.net/10356/168828
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