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 2533-2544 of 4,297
Quantum Simulation of Spin-Boson Models with Structured Bath
Kim J, Sun K, Kang M, Nuomin H, Schwartz G, Brown K, Beratan D.
Quantum Supervised Learning
Antonio Macaluso
Quantum Technology masters: A shortcut to the quantum industry?
Simon Goorney, Borja Munoz, Jacob Sherson
Quantum Time-Series Learning with Evolutionary Algorithms
Vignesh Anantharamakrishnan, Márcio M. Taddei
Quantum Token Obfuscation via Superposition: A Post-Quantum Security Framework Using Multi-Basis Verification and Entropy-Driven Evolution
S. M. Yousuf Iqbal Tomal, Abdullah Al Shafin
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
Soumyadip Sarkar
Quantum Visual Feature Encoding Revisited
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu
Quantum-accurate machine learning potentials for metal-organic frameworks using temperature driven active learning
Abhishek Sharma, Stefano Sanvito
Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication
Zsolt I. Tabi, Bence Bakó, Dániel T. R. Nagy, Péter Vaderna, Zsófia Kallus, Péter Hága, Zoltán Zimborás
Quantum-Classical Computing via Tensor Networks
Nathaniel Tornow, Christian B. Mendl, Pramod Bhatotia
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Milan Maksimovic, Ivan S. Maksymov
Quantum-Enhanced Secure Approval Voting Protocol
Saiyam Sakhuja, S. Balakrishnan