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 2473-2484 of 4,297
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
Quantum Computing for Energy Management: A Semi Non-Technical Guide for Practitioners
Jirawat Tangpanitanon
Quantum Computing for Option Portfolio Analysis
Yusen Wu, Jingbo B. Wang, Yuying Li
Quantum computing for solving Bayesian networks of bridges – method and recommendations
Tareq Abdelmalek, Fadi Oudah
Quantum Computing in Intelligent Transportation Systems: A Survey
Yifan Zhuang, Talha Azfar, Yinhai Wang, Wei Sun, Xiaokun Cara Wang, Qianwen Vivian Guo, Ruimin Ke