Quantum Machine Learning
4,009 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 1201-1212 of 4,009
Simultaneous Dissolved Gas Analysis in Transformer Oil via Time-Division-Multiplexed Quartz-Enhanced Photoacoustic Spectroscopy.
Dai J, Zhang Y, Wang J, Wang C, Wang Y, Tian Q, Chen Y, Feng C, Cui R, Yin X, Dong L, Wu H
Single-qubit graph classifier with classical feature aggregation.
Li S, Cui J, Ren J.
Single-shot measurement learning as a self-certifying estimator for quantum-enhanced sensing
Jeongho Bang
Single-shot quantum neural networks with amplitude estimation
Jaemin Seo
Single-trial assessment of gamma-frequency brain oscillations and their modulation using transcranial alternating current stimulation (tACS).
Jonany V, Haslacher D, Robinson S, Sander T, Zerfowski J, Peekhaus N, Krüger P, Soekadar SR
SMT-AD: a scalable quantum-inspired anomaly detection approach
Apimuk Sornsaeng, Si Min Chan, Wenxuan Zhang, Swee Liang Wong, Joshua Lim, Dario Poletti
SNG-Based Real-Time Plasma Control System: From Operator Calculus to Hardware Implementation
Durhan Yazir
Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.
Vu DT, Phan NA, Ngo ST, Phan MT, Truong TA, Nguyen CC, Phan PT, Phan HP, Do TN, Thai MT
Soft-Quantum Algorithms
Basil Kyriacou, Mo Kordzanganeh, Maniraman Periyasamy, Alexey Melnikov
Software Between Quantum and Machine Learning -- And Down to Pulses
Maja Franz, Melvin Strobl, Jonathan Hunz, Lukas Scheller, Lucas van der Horst, Eileen Kuehn, Achim Streit, Wolfgang Mauerer
Software Defect Prediction With Quantum-Inspired Feature Selection
Mohammad Salah Uddin
Solving nonlinear PDEs with Quantum Neural Networks: A variational approach to the Bratu Equation
Nikolaos Cheimarios