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 2137-2148 of 3,957
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
Quantum computing inspired paintings: reinterpreting classical masterpieces
Arianna Crippa, Yahui Chai, Omar Costa Hamido, Paulo Itaborai, Karl Jansen
Quantum conditional entropies from convex trace functionals
Roberto Rubboli, Milad M. Goodarzi, Marco Tomamichel
Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
S. M. Yousuf Iqbal Tomal, Abdullah Al Shafin, Afrida Afaf, Debojit Bhattacharjee
Quantum convolutional neural networks for jet images classification
Hala Elhag, Tobias Hartung, Karl Jansen, Lento Nagano, Giorgio Menicagli Pirina, Alice Di Tucci