Quantum Machine Learning
521 papers for year 2024
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 181-192 of 521
How quantum computing can enhance biomarker discovery
Frederik F. Flöther, Daniel Blankenberg, Maria Demidik, Karl Jansen, Raga Krishnakumar, Rajiv Krishnakumar, Nouamane Laanait, Laxmi Parida, Carl Saab, Filippo Utro
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Namit Anand, Navid Anjum Aadit, Yuri Alexeev, Gilad Ben-Shach, Kirk M. Bresniker, Kerem Y. Camsari, Barbara Chapman, Soumitra Chatterjee, Shuvro Chowdhury, Gebremedhin A. Dagnew, Tom Dvir, Aniello Esposito, Farah Fahim, Michael Ferguson, Marco Fiorentino, Archit Gajjar, Katerina Gratsea, Gaurav Gyawali, Christian Heiter, Ali H. Z. Kavaki, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, P. Aaron Lott, Igor L. Markov, Robert F. McDermott, Lucas Morais, Giacomo Pedretti, Pooja Rao, Eleanor Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis
How to Construct Quantum FHE, Generically
Aparna Gupte, Vinod Vaikuntanathan
HUST-Grace2024: a new GRACE-only gravity field time series based on more than 20 years of satellite geodesy data and a hybrid processing chain
H. Zhou, H. Zhou, L. Zheng, L. Zheng, Y. Li, Y. Li, X. Guo, X. Guo, Z. Zhou, Z. Zhou, Z. Luo, Z. Luo
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero, S. Biswas, F. Vilariño, M. Bilkis
Hybrid data-driven and physics-based modeling for viscosity prediction of ionic liquids
Jing Fan, Zhengxing Dai, Jian Cao, Liwen Mu, Xiaoyan Ji, Xiaohua Lu
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
Bahram Alidaee, Haibo Wang, Lutfu Sua, Wade Liu
Hybrid model of the kernel method for quantum computers
Jhordan Silveira de Borba, Jonas Maziero
Hybrid quantum enhanced federated learning for cyber attack detection
G. Subramanian, M. Chinnadurai
Hybrid quantum-classical approach for combinatorial problems at hadron colliders
Jacob L. Scott, Zhongtian Dong, Taejoon Kim, Kyoungchul Kong, Myeonghun Park
Hybrid Quantum-Classical Convolutional Neural Networks for Image Classification in Multiple Color Spaces
Kwok-Ho Ng, Tingting Song, Zhiquan Liu
Hybrid Quantum-Classical Feature Extraction approach for Image Classification using Autoencoders and Quantum SVMs
Donovan Slabbert, Francesco Petruccione