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
Hauptverfasser: Zhu, Yan, Bai, Ge, Wang, Yuexuan, Li, Tongyang, Chiribella, Giulio
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.12.2023
Schlagworte:
Artificial Intelligence
Computational Intelligence
Engineering
Quantum Information Technology
Spintronics
Quantum cloud computing
Quantum autoencoders
Quantum gate
ISSN:2524-4906, 2524-4914
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Zusammenfassung: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.
ISSN:2524-4906
2524-4914
DOI:10.1007/s42484-023-00112-5