Quantum autoencoders for communication-efficient cloud computing
In the model of quantum cloud computing, the server executes a computation on the quantum data provided by the client. In this scenario, it is important to reduce the amount of quantum communication between the client and the server. A possible approach is to transform the desired computation into a...
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| Veröffentlicht in: | Quantum machine intelligence Jg. 5; H. 2 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.12.2023
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| ISSN: | 2524-4906, 2524-4914 |
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| Abstract | In the model of quantum cloud computing, the server executes a computation on the quantum data provided by the client. In this scenario, it is important to reduce the amount of quantum communication between the client and the server. A possible approach is to transform the desired computation into a compressed version that acts on a smaller number of qubits, thereby reducing the amount of data exchanged between the client and the server. Here we propose quantum autoencoders for quantum gates (QAEGate) as a method for compressing quantum computations. We illustrate it in concrete scenarios of single-round and multi-round communication and validate it through numerical experiments. A bonus of our method is it does not reveal any information about the server’s computation other than the information present in the output. |
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| AbstractList | In the model of quantum cloud computing, the server executes a computation on the quantum data provided by the client. In this scenario, it is important to reduce the amount of quantum communication between the client and the server. A possible approach is to transform the desired computation into a compressed version that acts on a smaller number of qubits, thereby reducing the amount of data exchanged between the client and the server. Here we propose quantum autoencoders for quantum gates (QAEGate) as a method for compressing quantum computations. We illustrate it in concrete scenarios of single-round and multi-round communication and validate it through numerical experiments. A bonus of our method is it does not reveal any information about the server’s computation other than the information present in the output. |
| ArticleNumber | 27 |
| Author | Chiribella, Giulio Bai, Ge Li, Tongyang Wang, Yuexuan Zhu, Yan |
| Author_xml | – sequence: 1 givenname: Yan surname: Zhu fullname: Zhu, Yan organization: QICI Quantum Information and Computation Initiative, Department of Computer Science, The University of Hong Kong – sequence: 2 givenname: Ge surname: Bai fullname: Bai, Ge organization: QICI Quantum Information and Computation Initiative, Department of Computer Science, The University of Hong Kong – sequence: 3 givenname: Yuexuan surname: Wang fullname: Wang, Yuexuan organization: AI Technology Lab Department of Computer Science, The University of Hong Kong, College of Computer Science and Technology, Zhejiang University – sequence: 4 givenname: Tongyang surname: Li fullname: Li, Tongyang email: tongyangli@pku.edu.cn organization: Center on Frontiers of Computing Studies, Peking University, School of Computer Science, Peking University, Center for Theoretical Physics, Massachusetts Institute of Technology – sequence: 5 givenname: Giulio surname: Chiribella fullname: Chiribella, Giulio email: giulio@cs.hku.hk organization: QICI Quantum Information and Computation Initiative, Department of Computer Science, The University of Hong Kong, Department of Computer Science, University of Oxford, Perimeter Institute For Theoretical Physics, The University of Hong Kong Shenzhen Institute of Research and Innovation |
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| Copyright | The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Keywords | Quantum cloud computing Quantum autoencoders Quantum gate |
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