Quantum Machine Learning
4,297 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 49-60 of 4,297
A neural network potential energy surface of the Na2K system and quantum dynamics studies for the Na + NaK → Na2 + K reaction
Youhui Wu, Xinghao Qu, Xiaoxi Xu, Bayaer Buren
A Noisy Optimization mechanism for variational quantum classifiers
Rodica Ioana Lung, Florin Sebastian Duma
A Non-Commutative Voronovskaya Theorem for Quantum Neural Network Operators
Rômulo Damasclin Chaves dos Santos, Delvonei Alves de Andrade
A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring
Ganta Raghotham Reddy, Satheesh Kumar B, Venkatagurunatham Naidu Kollu, Hashim Elshafie, Shamimul Qamar
A novel deep learning approach for accurate and efficient design of LNOI power splitters
Huriye Gencal, Abdullah Aksoy, Enes Yigit, Umut Aydemir, Mustafa Demirtas
A Novel Hierarchy of Quantum Kernel Networks on Smoothed Particle Hydrodynamics
Yudong Li, Wenkui Shi, Chunfa Wang, Zhihao Qian, Zhiqiang Feng, Moubin Liu
A Novel Quantum Augmented Framework to Improve Microgrid Cybersecurity
Nitin Jha, Prateek Paudel, Abhishek Parakh, Mahadevan Subramaniam
A novel quantum convolutional neural network framework for quantum-enhanced classification of pixelated colour images.
Daka C, Bhattacharyya S
A novel qVGG-4 model for optimizing a parameterized quantum circuit in a quantum-IoT-based brain tumor detection and monitoring system.
Ahad MT, Song B, Li Y
A PAC-Bayesian approach to generalization for quantum models
Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber, Carlos Bravo-Prieto
A Perfectly Distributable Quantum-Classical Algorithm for Estimating Triangular Balance in a Signed Edge Stream
Steven Kordonowy, Bibhas Adhikari, Hannes Leipold
A physics-based framework for remote sensing inversion of fluorescent dissolved organic matter: incorporating fluorescence as an inelastic source term.
Zhang R, Deng R, Ying J