Quantum Machine Learning
4,009 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 1729-1740 of 4,009
Quantum Machine Learning methods for Fourier-based distribution estimation with application in option pricing
Fernando Alonso, Álvaro Leitao, Carlos Vázquez
Quantum Machine Learning via Contrastive Training
Liudmila A. Zhukas, Vivian Ni Zhang, Qiang Miao, Qingfeng Wang, Marko Cetina, Jungsang Kim, Lawrence Carin, Christopher Monroe
Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy
Thanveer Shaik, Xiaohui Tao, Haoran Xie
Quantum Markov Chains: Hub-Pruned Estimation for Fashion Recommenders
Or Peretz, Tai Dinh, Michal Koren
Quantum Masked Autoencoders for Vision Learning
Emma Andrews, Prabhat Mishra
Quantum Mechanical Spectral Analysis and Aldose Reductase Inhibition Evaluation of Synthetic New Pyrrolopyrazinones
Yun-Seo Kil, Junhyeung Park, Byeong-Seon Jeong, Punam Thapa, Young Jun Ok, Hyukjae Choi, Jee-Heon Jeong, Joo-Won Nam
Quantum Meet-in-the-Middle Attacks on Key-Length Extension Constructions
Min Liang, Ruihao Gao, Jiali Wu
Quantum Network-Based Prediction of Cancer Driver Genes
Patricia Marques, Andreas Wichert, Duarte Magano, Bruno Coutinho
Quantum Neural Network Architectures for Multivariate Time-Series Forecasting
Sandra Ranilla-Cortina, Diego A. Aranda, Jorge Ballesteros, Jesus Bonilla, Nerea Monrio, Elías F. Combarro, Jose Ranilla
Quantum Neural Network Realization of XOR on a Desktop Quantum Computer
Teo TH, Lin Q, Fu Y.
Quantum optical neural networks using atom-cavity interactions to provide all-optical nonlinearity
Chuanzhou Zhu, Tianyu Wang, Peter L. McMahon, Daniel Soh
Quantum Phase Classification of Rydberg Atom Systems Using Resource-Efficient Variational Quantum Circuits and Classical Shadows
Hemish Ahuja, Samradh Bhardwaj, Kirti Dhir, Roman Bagdasarian, Ziwoong Jang