Quantum variational optimization: The role of entanglement and problem hardness
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DOI: 10.1103/physreva.104.062426
Abstract: Quantum variational optimization has been posed as an alternative to solve optimization problems faster and at a larger scale than what classical methods allow. In this paper we study systematically the role of entanglement, the… read more here.
Keywords: optimization; problem; role entanglement; quantum variational ... See more keywords
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
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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
VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3066425
Abstract: Pansharpening refers to a spatio-spectral fusion of a lower spatial resolution multispectral (MS) image with a high spatial resolution panchromatic image, aiming at obtaining an image with a corresponding high resolution both in the domains.… read more here.
Keywords: resolution; optimization; optimization deep; approach ... See more keywords