Quantum Machine Learning
4,297 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 2005-2016 of 4,297
Quantum generative model on bicycle-sharing system and an application
Fumio Nemoto, Nobuyuki Koike, Daichi Sato, Yuuta Kawaai, Masayuki Ohzeki
Quantum Implicit Neural Representations for 3D Scene Reconstruction and Novel View Synthesis
Yeray Cordero, Paula García-Molina, Fernando Vilariño
Quantum Inspired Cryptographic Framework for Secure Federated Learning and Data Integrity in Large Scale IoT Ecosystems
Abdinasir Ismael Hashi, Abdirizak Hussein Mohamed
Quantum Interaction Manifolds for Cancer Genomics: A Theoretical Framework and Proof-of-Concept Quantum Machine Learning for Early Diagnosis and Drug Response Modeling
Ghayour P.
Quantum Interior Point Methods: A Review of Developments and An Optimally Scaling Framework
Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Pouya Sampourmahani, Adrian Harkness, Tamás Terlaky
Quantum Kernel Anomaly Detection Using AR-Derived Features from Non-Contact Acoustic Monitoring for Smart Manufacturing
Takao Tomono, Kazuya Tsujimura
Quantum Kernel Methods: Convergence Theory, Separation Bounds and Applications to Marketing Analytics
Laura Sáez-Ortuño, Santiago Forgas-Coll, Massimiliano Ferrara
Quantum machine learning -- lecture notes
Bojan Žunkovič
Quantum Machine Learning for Climate Modelling
Mierk Schwabe, Lorenzo Pastori, Valentina Sarandrea, Veronika Eyring
Quantum Machine Learning for Cyber Threat Detection: Enhancing Security in the Quantum Era
Mohammed abdulhamza Noor
Quantum machine learning for efficient reduced order modelling of turbulent flows
Han Li, Yutong Lou, Dunhui Xiao
Quantum Machine Learning for Secondary Frequency Control
Younes Ghazagh Jahed, Alireza Khatiri