Quantum Machine Learning
521 papers for year 2024
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 325-336 of 521
Quantum Approximate $k$-Minimum Finding
Minbo Gao, Zhengfeng Ji, Qisheng Wang
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, Adrian Paschke
Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm
Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique
Quantum Boltzmann machine learning of ground-state energies
Dhrumil Patel, Daniel Koch, Saahil Patel, Mark M. Wilde
Quantum Circuit Architecture Search on a Superconducting Processor.
Linghu K, Qian Y, Wang R, Hu MJ, Li Z, Li X, Xu H, Zhang J, Ma T, Zhao P, Liu DE, Hsieh MH, Wu X, Du Y, Tao D, Jin Y, Yu H.
Quantum Clustering for Cybersecurity
Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique
Quantum Collaboration: Pioneering the Frontier of Enhanced Artificial Intelligence
Zouhair LAKHYAR
Quantum Communication Advantage in TFNP
Mika Göös, Tom Gur, Siddhartha Jain, Jiawei Li
Quantum Computation
Barry C Sanders
Quantum Computing Education in Latin America: Experiences and Strategies
Laura Tenjo-Patiño, Cristian E. Bello, Alcides Montoya Cañola
Quantum Computing for Climate Resilience and Sustainability Challenges
Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee, Felix Burt, Shang Yu, Po-Heng, Lee