Quantum Machine Learning
416 papers for year 2023
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 253-264 of 416
Quantum algorithms for scientific computing
R. Au-Yeung, B. Camino, O. Rathore, V. Kendon
Quantum algorithms: A survey of applications and end-to-end complexities
Alexander M. Dalzell, Sam McArdle, Mario Berta, Przemyslaw Bienias, Chi-Fang Chen, András Gilyén, Connor T. Hann, Michael J. Kastoryano, Emil T. Khabiboulline, Aleksander Kubica, Grant Salton, Samson Wang, Fernando G. S. L. Brandão
Quantum All-Subkeys-Recovery Attacks on 6-round Feistel-2* Structure Based on Multi-Equations Quantum Claw Finding
Wenjie Liu, Mengting Wang, Zixian Li
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