Quantum Machine Learning
248 papers for year 2022
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 169-180 of 248
Quantum dynamics reveal different ligand effects by vibrational excitation in the dissociative chemisorption of HCl on the Au/Ag(111) surface
Tianhui Liu, Huixia Shi, Bina Fu, Dong H. Zhang
Quantum Fisher kernel for mitigating the vanishing similarity issue
Yudai Suzuki, Hideaki Kawaguchi, Naoki Yamamoto
Quantum Kernel Method in the Presence of Noise
Salman Beigi
Quantum Machine Learning using the ZXW-Calculus
Mark Koch
Quantum Phase Recognition using Quantum Tensor Networks
Shweta Sahoo, Utkarsh Azad, Harjinder Singh
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Quantum Reservoir Computing Implementations for Classical and Quantum Problems
Adam Burgess, Marian Florescu
Quantum security of subset cover problems
Samuel Bouaziz--Ermann, Alex B. Grilo, Damien Vergnaud
Quantum Similarity Testing with Convolutional Neural Networks
Ya-Dong Wu, Yan Zhu, Ge Bai, Yuexuan Wang, Giulio Chiribella
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li, Ruizhe Zhang
Quantum Split Neural Network Learning using Cross-Channel Pooling
Won Joon Yun, Hankyul Baek, Joongheon Kim
Quantum Teaching Learning Model Assisted Interactive Media: Does it affect Students' Higher Order Thinking Skill?
Mohammad Naufal Fahmi, Putu Sudira, Lucky Al Hafzy