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 109-120 of 659
Explainable Quantum-Logical Multi-Agent Systems for Autonomous Scientific Discovery in High-Dimensional Research Landscapes
Murali Krishna Pasupuleti
Exploiting biased noise in variational quantum models
Connor van Rossum, Sally Shrapnel, Riddhi Gupta
Exploration of quantum entanglement technologies for semiconductor inspection: practical applications and future directions
Yasunori Furukawa, Tetsuya Nishimura, Masafumi Asano, Masayoshi Arai, Yu Mukai, Ryo Okamoto, Shigeki Takeuchi
Exploring the potential of Quantum Graph Neural Networks in analyzing Large-Scale Structure of Universe
Farida Farsian, Francesco Schilliró, Andrea Bulgarelli, Carlo Burigana, Vincenzo Cardone, Luca Cappelli, Irene Graziotti, Massimo Meneghetti, Giuseppe Murante, Nicoló Parmiggiani, Alessandro Rizzo, Giuseppe Sarracino, Roberto Scaramella, Vincenzo Testa, Tiziana Trombetti
Exploring Trainability of Quantum Fourier Models for a Data-Tailored Encoding Scheme
Felix Paul, Peter Jung, Björn Minneker
Expressibility and Trainability Analysis of Hardware-Efficient Ansatz Variants in Variational Quantum Eigensolver with a Linear Mixing Model
Rasyid Ustman Ramadhan, Luthfiya Kurnia Permatahati, Teguh Budi Prayitno, Yanoar P. Sarwono
External cavity quantum cascade laser-based sensor with closed-loop gradient-based adaptive control for multi-molecule breath analysis: Potential applications in non-invasive diabetes monitoring
Ismail Bayrakli, Talha Topcu, Alparslan Buğrahan Oral, Mehmet Öz
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
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
FEDCOMPASS: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models
Yueheng Wang, Xing He, Zinuo Cai, Rui Zhang, Ruhui Ma, Yuan Liu, Rajkumar Buyya
FedQmc: A Federated Learning Backdoor Defense Method Based on Quantum State Encoding and Multiscale Aggregation in Industrial Internet of Things
Yuncan Tang, Lina Ni, Jinquan Zhang, Yongquan Liang
Fog-Quant: A quantum computing inspired framework for fog computing deployment over 6G radio access networks
Shabir Ali, Dhirendra Kumar Shukla, Arvind Dagur, Akhilesh Kumar, Nitin Shukla, Sambit Satpathy