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 337-348 of 521
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
Quantum cryptography visualized: assessing visual attention on multiple representations with eye tracking in an AR-enhanced quantum cryptography student experiment
David Dzsotjan, Atakan Coban, Christoph Hoyer, Stefan Küchemann, Jürgen Durst, Anna Donhauser, Jochen Kuhn
Quantum Curriculum Learning
Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima
Quantum Data Breach: Reusing Training Dataset by Untrusted Quantum Clouds
Suryansh Upadhyay, Swaroop Ghosh
Quantum Deep Equilibrium Models
Philipp Schleich, Marta Skreta, Lasse B. Kristensen, Rodrigo A. Vargas-Hernández, Alán Aspuru-Guzik