Results 41 to 50 of about 3,905,200 (321)
Quantum Machine Learning with SQUID [PDF]
Quantum, 2022 In this work we present the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems.
Alessandro Roggero +3 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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Applied Sciences, 2019 In this paper, we develop a novel classification algorithm that is based on the integration between competitive learning and the computational power of quantum computing.
M. Zidan +6 more
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A classification of generalized quantum statistics associated with classical Lie algebras
, 2004 Generalized quantum statistics such as para-Fermi statistics is characterized by certain triple relations which, in the case of para-Fermi statistics, are related to the orthogonal Lie algebra B_n=so(2n+1).
Stoilova, N. I., Van der Jeugt, J.
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A classification of quantum Hall fluids [PDF]
Journal of Statistical Physics, 1997 In this paper, the key ideas of characterizing universality classes of dissipation-free (incompressible) quantum Hall fluids by mathematical objects called quantum Hall lattices are reviewed. Many general theorems about the classification of quantum Hall lattices are stated and their physical implications are discussed.
Fröhlich, Jürg +2 more
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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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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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Quantum Ensemble for Classification
, 2022 Abstract A powerful way to improve performance in machine learning is to construct an ensemble that combines the predictions of multiple models. Ensemble methods are often much more accurate and have a lower variance than the individual classifiers that make them up, but have high requirements in terms of memory and computational time. In fact,
Antonio Macaluso +3 more
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Frontiers in Physics, 2022 Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes.
Denis Bokhan +7 more
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A dual quantum image feature extraction method: PSQIFE
IET Image Processing, 2022 In digital image processing, feature extraction occupies a very important position, which is related to the effect of image classification or recognition. At present, effective quantum feature extraction methods are relatively lacking.
Jie Su, Shuhan Lu, Lin Li
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