Parallel Hybrid Networks: an interplay between quantum and classical neural networks

no code implementations • 6 Mar 2023 • Mo Kordzanganeh, Daria Kosichkina, Alexey Melnikov

In this work, we introduce a new, interpretable class of hybrid quantum neural networks that pass the inputs of the dataset in parallel to 1) a classical multi-layered perceptron and 2) a variational quantum circuit, and then the outputs of the two are linearly combined.

Hybrid quantum neural network for drug response prediction

no code implementations • 10 Nov 2022 • Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov

We propose a novel hybrid quantum neural network for drug response prediction, based on a combination of convolutional, graph convolutional, and deep quantum neural layers of 8 qubits with 363 layers.

Drug Response Prediction Quantum Machine Learning