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arXiv · 2112.12369

Quantum autoencoders for communication-efficient quantum cloud computing

Yan Zhu·Ge Bai·Yuexuan Wang·Tongyang Li·Giulio Chiribella
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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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Yan Zhu, Ge Bai, Yuexuan Wang, Tongyang Li, Giulio Chiribella. 2021-12-23. Quantum autoencoders for communication-efficient quantum cloud computing. https://arxiv.org/abs/2112.12369

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