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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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 |
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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 |
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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. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Krisnanda, Tanjung Dini, Kevin Xu, Huawen Verstraelen, Wouter Liew, Timothy Chi Hin |
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Article |
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Krisnanda, Tanjung Dini, Kevin Xu, Huawen Verstraelen, Wouter Liew, Timothy Chi Hin |
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Krisnanda, Tanjung |
title |
Wisdom of crowds in quantum machine learning |
title_short |
Wisdom of crowds in quantum machine learning |
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Wisdom of crowds in quantum machine learning |
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Wisdom of crowds in quantum machine learning |
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Wisdom of crowds in quantum machine learning |
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wisdom of crowds in quantum machine learning |
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2023 |
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https://hdl.handle.net/10356/168828 |
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