Quantum Machine Learning
4,297 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 937-948 of 4,297
Operational diagnosis of an autonomous quantum thermal machine via non-markovianity and heat currents
Y. Khlifi, K. El Anouz, A. El Allati
Operational Reconstruction of Feynman Rules for Quantum Amplitudes via Composition Algebras
Jens Köplinger, Michael Habeck, Philip Goyal
Operator Learning with Variational Quantum Circuits
Jorgen Wu, Masoud Barati, Peyman Givi
Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.
Ma Q, Jin H, Shang X, Pardy T, Scheler O, Bartkova S, Cojoc D, Garoli D, Jin S
Optimal Complexity of Parameterized Quantum Circuits.
Correr GI, Azado PC, Soares-Pinto DO, Carlo GG.
Optimal quantum (r,δ)-locally repairable codes via classical ones
Kun Zhou, Meng Cao
Optimal Quantum Differential Privacy via Fisher Information Spectral Analysis
Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah, Godfred Manu Addo Boakye
Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna, Konrad Banaszek, Darko Zibar
Optimization of Green-synthesized Graphene Quantum Dots using Machine Learning for Neuroprotective Antioxidant Applications
A John Pradeep Ebenezer, A Lourdu Caroline, S Mayakannan, M Dhivya, T Santhi Sri, V Saravanan
Optimizing cross-domain transfer for universal machine learning interatomic potentials.
Kim J, You J, Park Y, Lim Y, Kang Y, Kim J, Jeon H, Ju S, Hong D, Lee SY, Choi S, Kim Y, Lee JW, Han S
Optimizing entanglement distribution via noisy quantum channels
Piotr Masajada, Marco Fellous-Asiani, Alexander Streltsov
Optimum 6G/7G quantum network design: Survey
Savo Glisic, Beatriz Lorenzo