Results 31 to 40 of about 296,091 (283)
An efficient geometric approach to quantum-inspired classifications
Scientific Reports, 2022 Optimal measurements for the discrimination of quantum states are useful tools for classification problems. In order to exploit the potential of quantum computers, feature vectors have to be encoded into quantum states represented by density operators ...
Roberto Leporini, Davide Pastorello
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MULTISPECTRAL REMOTE SENSING IMAGE CLASSIFICATION BASED ON QUANTUM ENTANGLEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Aiming at the problems of low accuracy and slow speed in the current remote sensing image classification algorithm,In order to improve remote sensing image classification, a quantum entanglement algorithm is proposed.The model transforms the ...
F. Yang +15 more
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Revealing quantum chaos with machine learning
, 2020 Understanding properties of quantum matter is an outstanding challenge in science. In this paper, we demonstrate how machine-learning methods can be successfully applied for the classification of various regimes in single-particle and many-body systems ...
Fedorov, A. K. +4 more
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Quantum cluster algorithm for data classification [PDF]
Materials Theory, 2021 AbstractWe present a quantum algorithm for data classification based on the nearest-neighbor learning algorithm. The classification algorithm is divided into two steps: Firstly, data in the same class is divided into smaller groups with sublabels assisting building boundaries between data with different labels.
Junxu Li, Sabre Kais
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Hierarchical quantum classifiers [PDF]
, 2018 Quantum circuits with hierarchical structure have been used to perform binary classification of classical data encoded in a quantum state. We demonstrate that more expressive circuits in the same family achieve better accuracy and can be used to classify
Benedetti, Marcello +7 more
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Introduction to quantum groups [PDF]
, 1997 We give an elementary introduction to the theory of algebraic and topological quantum groups (in the spirit of S. L. Woronowicz). In particular, we recall the basic facts from Hopf (*-) algebra theory, theory of compact (matrix) quantum groups and the ...
Muller, E., Podles, P.
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Classification of Hybrid Quantum-Classical Computing
, 2023 As quantum computers mature, the applicability in practice becomes more important. Many uses of quantum computers will be hybrid, with classical computers still playing an important role in operating and using the quantum computer. The term hybrid is however diffuse and multi-interpretable. In this work we define two classes of hybrid quantum-classical
Frank Phillipson +2 more
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Unified framework for quantum classification
Physical Review Research, 2021 Quantum machine learning is an emerging field that combines machine learning with advances in quantum technologies. Many works have suggested great possibilities of using near-term quantum hardware in supervised learning. Motivated by these developments,
Nhat A. Nghiem +2 more
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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.
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Generalization in Quantum Machine Learning: A Quantum Information Standpoint
PRX Quantum, 2021 Quantum classification and hypothesis testing (state and channel discrimination) are two tightly related subjects, the main difference being that the former is data driven: how to assign to quantum states ρ(x) the corresponding class c (or hypothesis) is
Leonardo Banchi +2 more
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