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: This article analyzes the effects of self-balancing in multiactive bridge converters. Therefore, it proposes a time-domain approach to model the dynamics of multiwinding transformer-based ...
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