New parallel hybrid network achieves better performance through quantum-classical collaboration

https://techxplore.com/news/2023-10-parallel-hybrid-network-quantum-classical-collaboration.html

"powerful tool for quantum machine learning... avoids information bottleneck of sequential networks... high-frequency noise added... lower training loss, better predictions, and more adaptable to complex problems and new datasets... variational quantum circuit layer smooths periodical parts, while classical multi-layered perceptron fills in irregular additions of noise... both layers considered universal approximators... success rides on setting and tuning learning rate, number of layers and neurons in each layer"

Related: Redefining quantum machine learning
https://techxplore.com/news/2024-03-redefining-quantum-machine.html

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