Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, and Enrique Solano

TL;DR
This paper demonstrates the experimental realization of a quantum autoencoder using quantum adders on a superconducting quantum computer, confirming the approach's feasibility with high fidelity results.
Contribution
It provides the first experimental implementation of a quantum autoencoder via quantum adders on a cloud quantum platform, validating theoretical proposals.
Findings
Experimental fidelities match theoretical predictions
Feasibility of quantum autoencoders with quantum adders confirmed
Implementation on up to three qubits successfully achieved
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 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.
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