quantum convolutional neural network - simulations code by Jonas Landman, PhD Student @ Université Paris Diderot Guidelines: download the whole repository on your computer open the Jupyter Notebook fileQCNN Simulations.ipynb(install from :https://jupyter.readthedocs.io/en/latest/install.html)...
Quantum optimization for training quantum neural networks Article Open access 01 June 2024 Barren plateaus in quantum neural network training landscapes Article Open access 16 November 2018 Quantum convolutional neural network for classical data classification Article 10 February 2022 Explore...
Physically motivated quantum algorithms for specific near-term quantum hardware will likely be the next frontier in quantum information science. Here, we show how many of the features of neural networks for machine learning can naturally be mapped into t
Here we propose a hybrid quantum-classical convolutional neural network (QCCNN), inspired by convolutional neural networks (CNNs) but adapted to quantum computing to enhance the feature mapping process.QCCNN is friendly to currently noisy intermediate-scale quantum computers, in terms of both number...
Baek et al., "3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications" Baek et al., "Scalable Quantum Convolutional Neural Networks" Yun et al., "Quantum Multi-Agent Meta Reinforcement Learning"Dependencies3.9...
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@article{liu2019hybrid, title={Hybrid Quantum-Classical Convolutional Neural Networks}, author={Liu, Junhua and Lim, Kwan Hui and Wood, Kristin L and Huang, Wei and Guo, Chu and Huang, He-Liang}, journal={arXiv preprint arXiv:1911.02998}, year={2019} } ...
Convolutional neural networks (CNNs) are classical ML models extensively used for image classification, speech recognition, etc (LeCun et al.2015; Schmidhuber2015). They consist of a sequence of convolutional and pooling layers followed by a fully connected layer at the end. The convolution operati...
D. Quantum convolutional neural networks. Nat. Phys. 15, 1273–1278. https://doi.org/10.1038/ s41567-019-0648-8 (2019). 42. Li, H.-S. et al. Image storage, retrieval, compression and segmentation in a quantum system. Quantum Inf. Process. 12, 2269–229...
Note: The code provided is a basic implementation of a neural network with support for fully connected layers, convolutional layers, and recurrent layers. It assumes the existence of functions like load_dataset(), preprocess_data(), and preprocess_labels() for loading and preprocessing the dataset...