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https://deepai.org/publication/theory-for-equivariant-quantum-neural-networks Theory for Equivariant Quantum Neural Networks | DeepAI Oct 16, 2022 - 10/16/22 - Most currently used quantum neural network architectures have little-to-no inductive biases, leading to trainability and generaliz... quantum neural networks theory equivariant deepai https://deepai.org/publication/universal-discriminative-quantum-neural-networks Universal discriminative quantum neural networks | DeepAI May 22, 2018 - 05/22/18 - Quantum mechanics fundamentally forbids deterministic discrimination of quantum states and processes. However, the ability to opti... quantum neural networks universal deepai https://deepai.org/publication/theoretical-guarantees-for-permutation-equivariant-quantum-neural-networks Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks | DeepAI Oct 18, 2022 - 10/18/22 - Despite the great promise of quantum machine learning models, there are several challenges one must overcome before unlocking thei... quantum neural networks theoretical guarantees permutation equivariant https://arxiv.org/abs/1503.05125 [1503.05125] Towards a feasible implementation of quantum neural networks using quantum dots Abstract page for arXiv paper 1503.05125: Towards a feasible implementation of quantum neural networks using quantum dots quantum neural networks https://deepai.org/publication/qtn-vqc-an-end-to-end-learning-framework-for-quantum-neural-networks QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks | DeepAI Oct 6, 2021 - 10/06/21 - The advent of noisy intermediate-scale quantum (NISQ) computers raises a crucial challenge to design quantum neural networks for f... quantum neural networks learning framework https://arxiv.org/abs/1807.09422 [1807.09422] Solving frustrated quantum many-particle models with convolutional neural networks Abstract page for arXiv paper 1807.09422: Solving frustrated quantum many-particle models with convolutional neural networks https://www.umassd.edu/research/research-awards/reduced-basis-enhancements-of-neural-networks-and-their-application-to-quantum-materials-simulation-1.html Research Awards: Reduced Basis Enhancements of Neural Networks and Their Application to Quantum... $ 296,555 awarded, sponsored by The National Science Foundation https://arxiv.org/abs/1807.10770v2 [1807.10770v2] Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions Abstract page for arXiv paper 1807.10770v2: Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions https://arxiv.org/abs/2107.09200v1 [2107.09200v1] A quantum algorithm for training wide and deep classical neural networks Abstract page for arXiv paper 2107.09200v1: A quantum algorithm for training wide and deep classical neural networks https://www.preprints.org/manuscript/202507.1799 Quantum-Cognitive Tunnelling Neural Networks for Military-Civilian Vehicle Classification and... Prior work has demonstrated that incorporating well-known quantum tunnelling (QT) probability into neural network models effectively captures important nuances... neural networks for military civilian vehicle quantum cognitive