Experimental Implementation of a Quantum Autoencoder via Quantum Adders
This work provides a proof-of-concept for reducing quantum resource requirements in quantum computing, but it is incremental as it builds on a prior theoretical proposal.
The authors experimentally implemented a quantum autoencoder using quantum adders on a Rigetti cloud quantum computer with up to three qubits, achieving fidelities that closely match theoretical predictions, thereby demonstrating the feasibility of this approach in superconducting quantum technologies.
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.