Quantum Adversarial Transfer Learning
Adversarial transfer learning is a machine learning method that employs an adversarial training process to learn the datasets of different domains. Recently, this method has attracted attention because it can efficiently decouple the requirements of tasks from insufficient target data. In this study...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/7/1090 |
| _version_ | 1797589389157597184 |
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| author | Longhan Wang Yifan Sun Xiangdong Zhang |
| author_facet | Longhan Wang Yifan Sun Xiangdong Zhang |
| author_sort | Longhan Wang |
| collection | DOAJ |
| description | Adversarial transfer learning is a machine learning method that employs an adversarial training process to learn the datasets of different domains. Recently, this method has attracted attention because it can efficiently decouple the requirements of tasks from insufficient target data. In this study, we introduce the notion of quantum adversarial transfer learning, where data are completely encoded by quantum states. A measurement-based judgment of the data label and a quantum subroutine to compute the gradients are discussed in detail. We also prove that our proposal has an exponential advantage over its classical counterparts in terms of computing resources such as the gate number of the circuits and the size of the storage required for the generated data. Finally, numerical experiments demonstrate that our model can be successfully trained, achieving high accuracy on certain datasets. |
| first_indexed | 2024-03-11T01:05:57Z |
| format | Article |
| id | doaj.art-b580f643f6934addb8457d9fc17788e7 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T01:05:57Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-b580f643f6934addb8457d9fc17788e72023-11-18T19:14:40ZengMDPI AGEntropy1099-43002023-07-01257109010.3390/e25071090Quantum Adversarial Transfer LearningLonghan Wang0Yifan Sun1Xiangdong Zhang2Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaAdversarial transfer learning is a machine learning method that employs an adversarial training process to learn the datasets of different domains. Recently, this method has attracted attention because it can efficiently decouple the requirements of tasks from insufficient target data. In this study, we introduce the notion of quantum adversarial transfer learning, where data are completely encoded by quantum states. A measurement-based judgment of the data label and a quantum subroutine to compute the gradients are discussed in detail. We also prove that our proposal has an exponential advantage over its classical counterparts in terms of computing resources such as the gate number of the circuits and the size of the storage required for the generated data. Finally, numerical experiments demonstrate that our model can be successfully trained, achieving high accuracy on certain datasets.https://www.mdpi.com/1099-4300/25/7/1090quantum transfer learningquantum generative adversarial networkquantum machine learningquantum computation |
| spellingShingle | Longhan Wang Yifan Sun Xiangdong Zhang Quantum Adversarial Transfer Learning Entropy quantum transfer learning quantum generative adversarial network quantum machine learning quantum computation |
| title | Quantum Adversarial Transfer Learning |
| title_full | Quantum Adversarial Transfer Learning |
| title_fullStr | Quantum Adversarial Transfer Learning |
| title_full_unstemmed | Quantum Adversarial Transfer Learning |
| title_short | Quantum Adversarial Transfer Learning |
| title_sort | quantum adversarial transfer learning |
| topic | quantum transfer learning quantum generative adversarial network quantum machine learning quantum computation |
| url | https://www.mdpi.com/1099-4300/25/7/1090 |
| work_keys_str_mv | AT longhanwang quantumadversarialtransferlearning AT yifansun quantumadversarialtransferlearning AT xiangdongzhang quantumadversarialtransferlearning |