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 469-480 of 4,297
Enhancing quantum-resistant data privacy in vehicular cloud networks using NIST-qualified FALCON algorithm
Mritunjay Shall Peelam, Brijesh Kumar Chaurasia, Man Mohan Shukla, Vinay Chamola
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
A. M. A. S. D. Alagiyawanna, Asoka Karunananda, A. Mahasinghe, Thushari Silva
Enhancing the scientific exploitation of future gravitational wave experiments through a multi-messenger approach
Florentina-Crenguta Pislan, Laurentiu-Ioan Caramete, Ana Caramete
Enhancing Vibronic-Coupling Hamiltonian Parameterization with Machine Learning: The PyVCHAM Tool.
Rodríguez-Cuenca E, Kuleff AI, Vendrell O
Enhancing WSN Data Security Using a Randomized Asymmetric Certificateless Arbitrated Quantum Signature Scheme
Ahmed M. Khedr, S. Sheeja Rani, Abo Bakr A. Khedr
Entanglement is Half the Story: Post-Selection vs. Partial Traces
Gustav J L Jäger, Krzysztof Bieniasz, Martin B Plenio, Hans-Martin Rieser
Entanglement of sections: the pushout of entangled and parameterized quantum information
Hisham Sati, Urs Schreiber
Entangling power of neural networks
Taige Wang, Nisarga Paul, Liang Fu
Entropy driven carbon-coated multi-element alloy nanoparticles for enhanced microwave absorption.
Wang P, Hassan SU, Kuang D, Hou L, Wang S
EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning
Sibasish Mishra, Aritra Sarkar, Sebastian Feld
Equivalence of Privacy and Stability with Generalization Guarantees in Quantum Learning
Ayanava Dasgupta, Naqueeb Ahmad Warsi, Masahito Hayashi
Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
Richie Yeung, Aleks Kissinger, Rob Cornish