2023
Efficient Data Loading with Quantum Autoencoder
ICASSP 2023accepted
Faithfully loading classical data into a quantum system is a core problem in quantum machine learning and various quantum information processing tasks. In this work, we propose an efficient quantum autoencoder architecture that can construct a quantum state approximating the unknown classical distri…