Results 61 to 70 of about 296,091 (283)
QueenNet: Quantum-Enhanced Neural Network for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) classification is a critical task in the field of remote sensing. Existing deep learning models have made significant progress in HSI classification, but often suffer from parameter redundancy and insufficient noise robustness ...
Qingwang Wang +5 more
doaj +1 more source
Speed of qubit states during thermalisation
, 2019 Classifying quantum states usually demands to observe properties such as the amount of correlation at one point in time. Further insight may be gained by inspecting the dynamics in a given evolution scheme.
Barbieri, Marco +4 more
core +1 more source
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation
Applied SciencesIn this study, we present an innovative approach to quantum image classification, specifically designed to mitigate the impact of noise interference.
Naihua Ji +4 more
doaj +1 more source
Epistemic vs Ontic Classification of quantum entangled states? [PDF]
, 2012 In this brief paper, starting from recent works, we analyze from conceptual point of view this basic question: can be the nature of quantum entangled states interpreted ontologically or epistemologically? According some works, the degrees of freedom (and
Caponigro, Michele, Giannetto, Enrico
core +4 more sources
Advanced Functional Materials, EarlyView.Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr +7 more
wiley +1 more source
Classification of quantum graphs on M2 and their quantum automorphism groups
Journal of Mathematical Physics, 2022 Motivated by the string diagrammatic approach to undirected tracial quantum graphs by Musto et al. [J. Math. Phys. 59(8), 081706 (2018)], in the former part of this paper, we diagrammatically formulate directed nontracial quantum graphs by Brannan et al. [Commun. Math. Phys. 375(3), 1777 (2019)].
openaire +2 more sources
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification
MathematicsImage classification is a fundamental task in deep learning, and recent advances in quantum computing have generated significant interest in quantum neural networks.
Deepak Ranga +4 more
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Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Machine Learning: Science and Technology, 2023 Quantum adversarial machine learning is an emerging field that studies the vulnerability of quantum learning systems against adversarial perturbations and develops possible defense strategies.
Yun-Zhong Qiu
doaj +1 more source