Results 91 to 100 of about 3,905,200 (321)

Harnessing quantum extreme learning machines for image classification [PDF]

Physical Review Applied
Interest in quantum machine learning is increasingly growing due to its potential to offer more efficient solutions for problems that are difficult to tackle with classical methods.
A. De Lorenzis, M. Casado, M. Estarellas, N. Lo Gullo, T. Lux, F. Plastina, A. Riera, J. Settino   +7 more
semanticscholar   +1 more source

Pentagonal 2D Altermagnets: Material Screening and Altermagnetic Tunneling Junction Device Application

Advanced Functional Materials, EarlyView.
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang, Xingyue Yang, Zongmeng Yang, Jing Lu, Pin Ho, Wenhong Wang, Yee Sin Ang, Zhenxiang Cheng, Shibo Fang   +8 more
wiley   +1 more source

Quantum classification

, 2008
Quantum classification is defined as the task of predicting the associated class of an unknown quantum state drawn from an ensemble of pure states given a finite number of copies of this state. By recasting the state discrimination problem within the framework of Machine Learning (ML), we can use the notion of learning reduction coming from classical ...
openaire   +2 more sources

Classification of macroscopic quantum effects [PDF]

Optics Communications, 2015
6 ...
Farrow, T, Vedral, V
openaire   +3 more sources

2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials

Advanced Functional Materials, EarlyView.
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng, Ying Liu, Jialin Gong, Yalong Jiao, Xiaoming Zhang, Wenxian Li, Zhenxiang Cheng, Tie Yang   +7 more
wiley   +1 more source

Underwater Animal Identification and Classification Using a Hybrid Classical-Quantum Algorithm

IEEE Access, 2023
Underwater Animal Identification and Classification is gaining significant importance in recent times due to the growing demand for ecological surveillance and biodiversity monitoring.
Sheena Christabel Pravin, G. Rohith, V. Kiruthika, E. Manikandan, S. Methelesh, A. Manoj   +5 more
doaj   +1 more source

Quasi-Quantum Planes and Quasi-Quantum Groups of Dimension $p^3$ and $p^4$ [PDF]

, 2014
The aim of this paper is to contribute more examples and classification results of finite pointed quasi-quantum groups within the quiver framework initiated in \cite{qha1, qha2}.
Huang, Hua-Lin, Yang, Yuping
core  

Quantum Discriminant Analysis for Dimensionality Reduction and Classification

, 2016
We present quantum algorithms to efficiently perform discriminant analysis for dimensionality reduction and classification over an exponentially large input data set.
Cong, Iris, Duan, Luming
core   +1 more source

Causal Classification of Spatiotemporal Quantum Correlations

Physical Review Letters
29 ...
Minjeong Song, Varun Narasimhachar, Bartosz Regula, Thomas J. Elliott, Mile Gu   +4 more
openaire   +5 more sources

Classification of Quantum Tori with Involution [PDF]

Canadian Mathematical Bulletin, 2002
AbstractQuantum tori with graded involution appear as coordinate algebras of extended affine Lie algebras of type A1, C and BC. We classify them in the category of algebras with involution. From this, we obtain precise information on the root systems of extended affine Lie algebras of type C.
openaire   +3 more sources