Quantum Machine Learning
3,957 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 2581-2592 of 3,957
Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering
Alonso Viladomat Jasso, Ark Modi, Roberto Ferrara, Christian Deppe, Janis Noetzel, Fred Fung, Maximilian Schaedler
Quantum Approximate Bayesian Optimization Algorithms with Two Mixers and Uncertainty Quantification
Jungin E. Kim, Yan Wang
Quantum Block-Matching Algorithm using Dissimilarity Measure
M. Martínez-Felipe, J. Montiel-Pérez, V. Onofre, A. Maldonado-Romo, Ricky Young
Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory
Anshumitra Baul, Herbert F Fotso, Hanna Terletska, Juana Moreno, Ka-Ming Tam
Quantum Cloud Computing for Next-Generation IT Infrastructures: Challenges, Opportunities, and Future Trends
MAHIPAL REDDY YALLA
Quantum Communication Countermeasures
Michal Krelina
Quantum Complexity vs Classical Complexity: A Survey
Arash Vaezi, Ali Movaghar, Mohammad Ghodsi, Seyed Mohammad Hussein Kazemi, Negin Bagheri Noghrehy, Seyed Mohsen Kazemi
Quantum Computing Applications in Statistics
Ameer B. A. Alaasam
Quantum computing for chemistry and physics applications from a Monte Carlo perspective
Guglielmo Mazzola
Quantum Computing, Math, and Physics (QCaMP): Introducing quantum computing in high schools
Megan Ivory, Alisa Bettale, Rachel Boren, Ashlyn D. Burch, Jake Douglass, Lisa Hackett, Boris Kiefer, Alina Kononov, Maryanne Long, Mekena Metcalf, Tzula B. Propp, Mohan Sarovar
Quantum Data Center: Perspectives
Junyu Liu, Liang Jiang
Quantum forgery attacks on COPA,AES-COPA and marble authenticated encryption algorithms
Yinsong Xu, Wenjie Liu, Wenbin Yu