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 paper introduces a novel approach designed to enhance the process of microbubble (MB) detection and localization (MBDL) within ultrasound localization microscopy (ULM). ULM serves as a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results