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 2149-2160 of 3,957
Quantum cryptography visualized: assessing visual attention on multiple representations with eye tracking in an AR-enhanced quantum cryptography student experiment
David Dzsotjan, Atakan Coban, Christoph Hoyer, Stefan Küchemann, Jürgen Durst, Anna Donhauser, Jochen Kuhn
Quantum Curriculum Learning
Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima
Quantum Data Breach: Reusing Training Dataset by Untrusted Quantum Clouds
Suryansh Upadhyay, Swaroop Ghosh
Quantum Deep Equilibrium Models
Philipp Schleich, Marta Skreta, Lasse B. Kristensen, Rodrigo A. Vargas-Hernández, Alán Aspuru-Guzik
Quantum Dynamics of Machine Learning
Peng Wang, Maimaitiniyazi Maimaitiabudula
Quantum Ecosystem Research and Analysis in Colombia
Cristian E. Bello, Benjamin Harper, Camilo A. Castro, Alcides Montoya C
Quantum encoder for fixed Hamming-weight subspaces
Renato M. S. Farias, Thiago O. Maciel, Giancarlo Camilo, Ruge Lin, Sergi Ramos-Calderer, Leandro Aolita
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
Clara C. Wanjura, Florian Marquardt
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
Benjamin Scellier
Quantum Error Propagation
Eldar Sultanow, Fation Selimllari, Siddhant Dutta, Barry D. Reese, Madjid Tehrani, William J Buchanan
Quantum Extreme Learning of molecular potential energy surfaces and force fields
Gabriele Lo Monaco, Marco Bertini, Salvatore Lorenzo, G. Massimo Palma
Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search
Thet Htar Su, Shaswot Shresthamali, Masaaki Kondo