Quantum Machine Learning
4,265 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 517-528 of 4,265
FAlCon: A unified framework for algorithmic control of quantum dot devices
Tyler J. Kovach, Daniel Schug, Zach D. Merino, Mark Friesen, Mark A. Eriksson, Justyna P. Zwolak
Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance
Honjar Xing, Yehong Jiang, Xianbang Wang, Zehua Wang, Zhicheng Jiang
Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion
Yoshiaki Kawase
Fast and noise-aware machine learning variational quantum eigensolver optimiser
Akib Karim, Shaobo Zhang, M. Usman
Fast Generation of Pipek-Mezey Wannier Functions via the Co-Iterative Augmented Hessian Method.
Yang G, Ye HZ
Fast semantic image annotation and retrieval with quantum firefly-based multi-label learning
Lina J. Abu Shaheen, Oday Ali Hassen, Saad M. Darwish, Adel A. Elzoghabi
Fault-Injection Probing: A Causal Interpretability Framework for Quantum Machine Learning Models
Kannan¹ P, Sundaram¹ VM.
Fe-PNC Nanoenzyme-Enhanced Closed Bipolar Sensing Platform for Sensitive ECL/Fluorescence Detection and Imaging of miRNA-141.
Liu J, Sun M, Fan Y, Li J, Zhou H, Li B
Feasibility Study of (18)F-FDG PET Short-Duration Scan in Underweight Patients with Lung Cancer.
Sagara H, Akamatsu G, Mano C, Inaki A, Inoue K
Feasibility study of quantum-classical hybrid networks for patient-specific quality assurance in radiotherapy
Heling Zhu, Junhao Su, Bolun Wu, Qizhen Zhu, Zhiqun Wang, Lin Yao, Wending Zhao, Xianzhi Huang, Bo Yang
Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines
Vincenzo Sammartino
Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning
Maureen Krumtünger, Martin Sevior, Muhammad Usman