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 2293-2304 of 4,297
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic
Exploring Hybrid Quantum-Classical Methods for Practical Time-Series Forecasting
Maksims Dimitrijevs, Mārtiņš Kālis, Iļja Repko
Exploring Quantum Active Learning for Materials Design and Discovery
Maicon Pierre Lourenço, Hadi Zadeh-Haghighi, Jiří Hostaš, Mosayeb Naseri, Daya Gaur, Christoph Simon, Dennis R. Salahub
Exploring quantum localization with machine learning
J. Montes, Lenoardo Ermann, Alejandro M. F. Rivas, Florentino Borondo, Gabriel G. Carlo
Exploring Quantum Neural Networks for Demand Forecasting
Gleydson Fernandes de Jesus, Maria Heloísa Fraga da Silva, Otto Menegasso Pires, Lucas Cruz da Silva, Clebson dos Santos Cruz, Valéria Loureiro da Silva
Export Restrictions in the Field of Artificial Intelligence and Quantum Computing: Justification and Risks – The United States–China Rivalry from a European Union Perspective
János Székely
Expressibility, entangling power and quantum average causal effect for causally indefinite circuits
Pedro C. Azado, Guilherme I. Correr, Alexandre Drinko, Ivan Medina, Askery Canabarro, Diogo O. Soares-Pinto
Expressivity of deterministic quantum computation with one qubit
Yujin Kim, Daniel K. Park
Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance
Ishita Agarwal, Taylor L. Patti, Rodrigo Araiza Bravo, Susanne F. Yelin, Anima Anandkumar
Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles
Franziska Greinert, Simon Goorney, Dagmar Hilfert-Rüppell, Malte S. Ubben, Rainer Müller
Fast characterization of multiplexed single-electron pumps with machine learning
N. Schoinas, Y. Rath, S. Norimoto, W. Xie, P. See, J. P. Griffiths, C. Chen, D. A. Ritchie, M. Kataoka, A. Rossi, I. Rungger
Fast classical simulation of qubit-qudit hybrid systems
Haemanth Velmurugan, Arnav Das, Turbasu Chatterjee, Amit Saha, Anupam Chattopadhyay, Amlan Chakrabarti