Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano · Advanced Quantum Technologies · 2019
Abstract 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 is proposed to employ approximate quantum adders to implement quantum autoencoders in quantum technologies. Here, the experimental implementation of this proposal in the Rigetti cloud quantum computer is carried out 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.