Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle
Sign Up to like & getrecommendations! Published in 2022 at "Physica Scripta"
DOI: 10.1088/1402-4896/acc984
Abstract: In this work, we establish a stochastic contact variational integrator and its discrete version via stochastic Herglotz variational principle for stochastic contact Hamiltonian systems. A general structure-preserving stochastic contact method is provided to seek the… read more here.
Keywords: via stochastic; stochastic herglotz; contact; herglotz variational ... See more keywords
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3164852
Abstract: Quantum machine learning has emerged as a potential practical application of near-term quantum devices. In this work, we study a two-layer hybrid classical-quantum classifier in which a first layer of quantum stochastic neurons implementing generalized… read more here.
Keywords: classical quantum; hybrid classical; stochastic variational; variational optimization ... See more keywords
Reconstruction of weak near-infrared images in methyl red-doped nematic liquid crystals via stochastic resonance.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.462740
Abstract: We propose a near-infrared (NIR) image reconstruction method based on molecular reorientation of nematic liquid crystals (NLCs) doped with the azo-dye methyl red (MR). The signal can be recovered at the expense of noise via… read more here.
Keywords: nematic liquid; via stochastic; liquid crystals; methyl red ... See more keywords