Quantum Machine Learning
4,265 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 625-636 of 4,265
Hybrid boson sampling-neural network architecture for enhanced classification
Mohammad Sharifian, Abolfazl Bayat
Hybrid Classical-Quantum Neural Networks for Multi-Characteristic Co-Optimization of Recessed-Gate AlGaN/GaN MIS-HEMTs
Rushat Rai, Pei-Jie Chang, Doan Viet Nguyen, Yuan-Chieh Chiu, Niall Tumilty, Yun-Yuan Wang, Simon See, Wen-Jay Lee, Tai-Yue Li, Nan-Yow Chen, Tian-Li Wu
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
D. Martín-Pérez, F. Rodríguez-Díaz, D. Gutiérrez-Avilés, A. Troncoso, F. Martínez-Álvarez
Hybrid Consensus with Quantum Sybil Resistance
Dar Gilboa, Siddhartha Jain, Or Sattath
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
Mateusz Papierz, Asel Sagingalieva, Alix Benoit, Toni Ivas, Elia Iseli, Alexey Melnikov
Hybrid Framework for Wind Direction Prediction Using Custom Quantum Feature Extractor
Unknown
Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design
Krishna Bhatia, Gautami Sanjay Naik
Hybrid ML/MM Simulations for Computational Enzymology: Recent Advances and Challenges.
Sha X, Wu C, Xie D, Zhou Y
Hybrid numerical–machine learning analysis of a magnetically tunable quantum pseudodot with Aharonov–Bohm flux and screened impurity
Souraya Goumri-Said, Mohammed Benali Kanoun
Hybrid Photonic Quantum Reservoir Computing for High-Dimensional Financial Surface Prediction
Fyodor Amanov, Azamkhon Azamov
Hybrid quantum annealing for price optimization under cross‑elastic demand
Ricardo Pérez-Castillo, Fernando Lorente
Hybrid quantum classical framework for electroencephalogram driven neurological processing in epileptic seizure taxonomy.
Padmaja B, Maram B, Raheem AKA, Khan S, Basheti I, Abass KS, Khan WA.