Results 51 to 60 of about 33,969 (261)

QueenNet: Quantum-Enhanced Neural Network for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral 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, Shunyuan Wang, Yinxing Zhang, Jian Song, Kai Zeng, Tao Shen   +5 more
doaj   +1 more source

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation

Applied Sciences
In this study, we present an innovative approach to quantum image classification, specifically designed to mitigate the impact of noise interference.
Naihua Ji, Rongyi Bao, Zhao Chen, Yiming Yu, Hongyang Ma   +4 more
doaj   +1 more source

Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC

Advanced Functional Materials, EarlyView.
The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi, Minh Tuan Luu, Christopher Linderälv, Vytautas Žalandauskas, Marianne Etzelmüller Bathen, Nguyen Tien Son, Takeshi Ohshima, Gergő Thiering, Lukas Razinkovas, Ronald Ulbricht   +9 more
wiley   +1 more source

Coupling Anodic Activity and Stability at Ni‐Based Non‐Oxide Catalysts via Coordinating Alcohol Oxidation and Oxygen Evolution

Advanced Functional Materials, EarlyView.
A cooperative and competitive interrelationship between alcohol oxidation (AOR) and water oxidation (OER) was observed on a typical anode catalyst of Ni2P. In situ Raman spectroscopy and electrochemical analyses revealed a specific complementary mechanism between them, in which OER and AOR critically contribute to the activity and stability of anodic ...
Yong Yan, Xinyu Liu, Yuguo Zhao, Hanwen Jian, Huan Zhou, Riyi Zhang, Dong Wang, Peter Schaaf, Lihua Wang, Guangsheng Guo, Xiayan Wang   +10 more
wiley   +1 more source

Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification

Mathematics
Image classification is a fundamental task in deep learning, and recent advances in quantum computing have generated significant interest in quantum neural networks.
Deepak Ranga, Sunil Prajapat, Zahid Akhtar, Pankaj Kumar, Athanasios V. Vasilakos   +4 more
doaj   +1 more source

Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

Mathematics, 2023
Diabetic retinopathy seems to be the cause of micro-vascular retinal alterations. It remains a leading reason for blindness and vision loss in adults around the age of 20 to 74.
Shtwai Alsubai, Abdullah Alqahtani, Adel Binbusayyis, Mohemmed Sha, Abdu Gumaei, Shuihua Wang   +5 more
doaj   +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

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

Image Fusion With Quantum Processing for Scene Classification Using the BigEarthNet Dataset

IEEE Access
This paper presents algorithms, simulations, and results on the use of optical and Synthetic Aperture Radar (SAR) quantum image fusion and machine learning algorithms for radar and remote sensing applications.
Leslie Miller, Glen S. Uehara, Niraj Anil Babar, Andreas Spanias   +3 more
doaj   +1 more source