Quantum Machine Learning
659 papers from Crossref
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 73-84 of 659
Corrigendum to “Solving combinatorial optimization and machine learning problems on hybrid near-term quantum photonic computers” [Future Gener. Comput. Syst. 174 (2026) 107934]
Mateusz Slysz, Łukasz Grodzki, Piotr Rydlichowski, Dawid Siera, Krzysztof Kurowski, Grzegorz Waligóra, Jan Węglarz
CQNAS: Convolutional quantum hybrid neural network architecture search for image classification
Desheng Kong, Jiaying Jin, Xiangshuo Cui, Jijie Yan, Jiyang Tang, Yulong Fu, Jing Xu, Donglin Wang
Cs <sub>3</sub> Bi <sub>2</sub> Br <sub>9</sub> Quantum Dots‐Driven Photogenerated Bromine Radical Relay Enables Efficient Cleavage of C <i> <sub>α</sub> </i> /C <i> <sub>β</sub> </i> ─O Bonds for Lignin Depolymerization
Houting Wang, Wencai Yang, Ye Wu, Jie Yang, Mingxiang Zhu, Fang Zhang
Cybersecurity in the quantum era: Assessing the impact of quantum computing on infrastructure
Yaser Baseri, Vikas Chouhan, Ali Ghorbani
Decoupling the Dual Impact of NISQ Noise on Quantum Adversarial Robustness
Haoran Wang, Shaoliang Ye, Shaowei Wang, Hanyi Wang, Zhenbo Shi, Wei Yang
Deep eutectic solvent density prediction: Machine learning from quantum chemical descriptors reveals electronic and stoichiometric controls
Udayakumar Mani, Lavanya Priyadarshini Ramalingam, Senthilkumar Rathinasamy
Deep learning-based compensation of beam wander and polarization fluctuations for free-space quantum communication
Gibeen Gu, Hyeokin Kang, Taewon Kim, Jeonghun Seong, Young-Jin Kim
Deep Neural Network-Based prediction of electronic and optical properties in CdSe/CdS quantum wells
Adel Bouazra, Safa Maamria
Design and development of thiadiazole derived Schiff base as efficient corrosion inhibitor for steel materials: Experimental and quantum analysis
Naveenkumar C., Dileep R., Ranganatha S.
Design and Modeling of Superconducting Quantum Amplifiers for Fundamental Physics Experiments
Tian Bai, Tom Godfrey, Parth Bhandari, Laith Meti, Gemma Chapman, John Gallop, Ling Hao, Edward Romans
Design and Noise-Aware Validation of a Testable Dual-Edge Triggered Reversible D Flip-Flop Using IBM Quantum Qiskit Simulation
Neeraj Kumar Misra, Nirupma Pathak, Seyed Sajad Ahmadpour, Murugaperumal Krishnamoorthy, Mojtaba Noorallahzadeh, Mrinal Goswami, Bandan Kumar Bhoi, Sambit Satpathy
Design of a 4-bit counter using reversible logic gates for enhanced security with reduced quantum cost
R. Murugasami, Kannan Nithin Kariyankattil Velukutty, M. Kalidasan, A. Senthilnathan