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 1225-1236 of 4,009
SSDBFAN: Scalable and Secure Cluster-Based Data Aggregation with Blockchain for Flying Ad Hoc Networks.
Majmaie SA, Ghajari G, Bhatta NP, Ibrahem MI, Amsaad F
Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems.
Khalil H, Elshazly O, Shaheen O.
Standardized quantum transistor block enables differentiable learning on gait dynamics.
Villalba-Díez J, Ordieres-Meré J.
Stereocontrolled Access to Carbocyclic Nucleosides Bearing Multiple Stereocenters via Desymmetrizing Hydroformylation.
Ren T, You C, Yang Y, Zheng J, Li L, Zhang X, Li X
STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
Dominic Gribben, Carolina Allende, Alba Villarino, Aser Cortines, Mazen Ali, Román Orús, Pascal Oswald, Noureddine Lehdili
Stochastic Loop Corrections to Belief Propagation for Tensor Network Contraction
Gi Beom Sim, Tae Hyeon Park, Kwang S. Kim, Yanmei Zang, Xiaorong Zou, Hye Jung Kim, D. ChangMo Yang, Soohaeng Yoo Willow, Chang Woo Myung
Stochastic Neural Networks for Quantum Devices
Bodo Rosenhahn, Tobias J. Osborne, Christoph Hirche
Stochastic Shadow Descent: Training Parametrized Quantum Circuits with Shadows of Gradients
Sayantan Pramanik, M Girish Chandra
Stone-in-Waiting: A Cloud-Based Accelerator for the Quantum Approximate Optimization Algorithm
Shuai Zeng
Stopping Reliability in Adaptive Krylov-Shadow Quantum Fisher Information Estimation
Erjie Liu, Yangshuai Wang
STQS: A Unified System Architecture for Spatial Temporal Quantum Sensing
Anastashia Jebraeilli, Chenxu Liu, Keyi Yin, Samuel Stein, Erik Lentz, Yufei Ding, Ang Li
Strict Hierarchy for Quantum Channel Certification to Unitary
Kean Chen, Qisheng Wang, Zhicheng Zhang