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 ...
Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...
Abstract: As the level of intelligence in agricultural consumer electronics continues to advance, data-driven devices are often faced with challenges such as resource shortages, high real-time ...
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