A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks
Abstract: This research presents a Dual Quantum-Traditional Auto encoder network designed for near-term quantum processors. This Dual AE consists of a variational Auto encoder and decoder network ...
Abstract: The emergence of Software-defined Networks (SDN) has played a significant role in shaping the future of networking technologies. SDN aims to improve the flexibility, efficiency, and ...
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