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 1285-1296 of 4,009
The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
Benedikt Poggel, Lena Tokuhiro, Georg Kruse, Jeanette Miriam Lorenz
The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers
Pranav Chandarana, Alejandro Gomez Cadavid, Enrique Solano, Thorsten Koch, Stefan Woerner, Narendra N. Hegade
The research on a novel paradigm of quantum-resistant encryption based on large models
Lihan Xia
The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute
Gilles Buchs, Thomas L. Beck, Ryan S. Bennink, Daniel Claudino, Andrea Delgado, Nur Aiman Fadel, Peter Groszkowski, Kathleen E. Hamilton, Travis S. Humble, Neeraj Kumar, Ang Li, Phillip C. Lotshaw, Olli Mukkula, Ryousei Takano, Amit Saxena, In-Saeng Suh, Miwako Tsuji, Roel Van Beeumen, Ugo Varetto, Yan Wang, Kazuya Yamazaki, Mikael P. Johansson
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
Dominik Freinberger, Philipp Moser
The scientific legacy of Martin Karplus from the perspective of his collaborators.
Andricioaei I, Best RB, Birge RR, Boresch S, Brunger A, Brooks BR, Buck M, Brüschweiler R, Caflisch A, Case DA, Cui Q, Dejaegere A, Dinner AR, Elber R, Evanseck JD, Gao J, Guo H, Hubbard RE, Kuriyan J, Joseph-McCarthy D, Levy RM, Nilsson L, Mattos C, MacKerell AD Jr, McCammon JA, Michnick SW, Mulholland A, Meuwly M, Pastor RW, Reuter N, Roux B, Sali A, Schlick T, Smith JC, Stote RH, Straub JE, Taly A, van der Vaart A, Wan S, Weiss MA, Yang W, York DM, Zhou Y
The study of hydrogen adsorption-induced topological surface state in-out hop in MgB(2) nodal-line semimetals via physics-informed Bayesian optimization.
Yue Q, Bu K, Wang R, Wang C
Theoretical Guarantees of Variational Quantum Algorithm with Guiding States
Nguyen T, Kieferová M.
Theoretical Insights on the Regulatory Mechanisms of Structure and Doping on the Photoluminescence of Ligand Protected Gold Nanoclusters.
Li K, Li J, Wang P, Pei Y
Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach
Markus Gross, Hans-Martin Rieser
Timed fuzzy quantum-inspired anomaly detection in industrial scenarios
Giovanni Acampora, Andrea Senese
TL-QCHResnet: Quantum transfer learning based on heart rate variability data
Ziwen Zhu, Rigui Zhou