Quantum Machine Learning
521 papers for year 2024
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 385-396 of 521
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
David M. Bossens, Kishor Bharti, Jayne Thompson
Quantum prioritized experience replay with MaDi-based priority and quantum circuit mechanisms for optimizing reinforcement learning
Unknown
Quantum Serverless Paradigm and Application Development using the QFaaS Framework
Hoa T. Nguyen, Bui Binh An Pham, Muhammad Usman, Rajkumar Buyya
Quantum similarity learning for anomaly detection
A. Hammad, Mihoko M. Nojiri, Masahito Yamazaki
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