Quantum autoencoders for communication-efficient quantum cloud computing
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.
Cite
@article{arxiv.2112.12369,
title = {Quantum autoencoders for communication-efficient quantum cloud computing},
author = {Yan Zhu and Ge Bai and Yuexuan Wang and Tongyang Li and Giulio Chiribella},
journal= {arXiv preprint arXiv:2112.12369},
year = {2021}
}