Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information. Recently, it was proposed to employ approximate quantum adders to implement quantum autoencoders in quantum technologies. Here, we carry out the experimental implementation of this proposal in the Rigetti cloud quantum computer employing up to three qubits. The experimental fidelities are in good agreement with the theoretical prediction, thus proving the feasibility to realize quantum autoencoders via quantum adders in state-of-the-art superconducting quantum technologies.
Quantum autoencoders via quantum adders with genetic algorithms
University of the Basque Country UPV/EHU（巴斯克大学（UPV/EHU））；Basque Centre for Climate Change (BC3)（巴斯克气候变化中心（BC3））；Queen Mary University of London（伦敦玛丽女王大学）；University of Valencia（瓦伦西亚大学）；IKERBASQUE, Basque Foundation for Science（巴斯克科学基金会（IKERBASQUE））；Shanghai University（上海大学）
Asymmetric Linear-Combination-of-Unitaries Realization of Quantum Convolution via Modular Adders
Kyushu University（九州大学）；Fukui Institute for Fundamental Chemistry, Kyoto University（京都大学福井基础化学研究所）；Nagoya University（名古屋大学）；National Research Council Canada（加拿大国家研究委员会）；Keio University（庆应义塾大学）
