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 457-468 of 521
Space-bounded quantum interactive proof systems
François Le Gall, Yupan Liu, Harumichi Nishimura, Qisheng Wang
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
William Troy
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue, Xiao-Fan Xu, Chao Wang, Huan-Yu Liu, Tai-Ping Sun, Yun-Jie Wang, Yu-Chun Wu, Guo-Ping Guo
STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud
Satwik Kundu, Swaroop Ghosh
Strategic Roadmap for Quantum- Resistant Security: A Framework for Preparing Industries for the Quantum Threat
Arit Kumar Bishwas, Mousumi Sen
Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor
Ilia V. Zalivako, Alexander I. Gircha, Evgeniy O. Kiktenko, Anastasiia S. Nikolaeva, Denis A. Drozhzhin, Alexander S. Borisenko, Andrei E. Korolkov, Nikita V. Semenin, Kristina P. Galstyan, Pavel A. Kamenskikh, Vasilii N. Smirnov, Mikhail A. Aksenov, Pavel L. Sidorov, Ksenia Yu. Khabarova, Aleksey K. Fedorov, Nikolay N. Kolachevsky, Ilya A. Semerikov
Surrogate-guided optimization in quantum networks
Luise Prielinger, Álvaro G. Iñesta, Gayane Vardoyan
Survey on Computational Applications of Tensor Network Simulations
Marcos Díez García, Antonio Márquez Romero
Sustainable Quantum Computing: Opportunities and Challenges of Benchmarking Carbon in the Quantum Computing Lifecycle
Nivedita Arora, Prem Kumar
SWOT Analysis of Quantum Computing in Accounting
Hamide ÖZYÜREK
Teaching Quantum Informatics at School: Computer Science Principles and Standards
Giulia Paparo, Regina Finsterhoelzl, Bettina Waldvogel, Mareen Grillenberger
Tensor Network Estimation of Distribution Algorithms
John Gardiner, Javier Lopez-Piqueres