Results 21 to 30 of about 33,969 (261)

wpScalable Quantum Neural Networks for Classification

open access: yes2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022
11 pages, 10 figures, accepted by ...
Jindi Wu, Zeyi Tao, Qun Li 0001
openaire   +2 more sources

Unsupervised Classification of Quantum Data [PDF]

open access: yesPhysical Review X, 2019
Close to published version, with new results on known classical and quantum states. 11 + 11 pages, 3 figures. Comments are welcome!
Sentís Herrera, Gael   +4 more
openaire   +5 more sources

A Quantum Computing-Based Accelerated Model for Image Classification Using a Parallel Pipeline Encoded Inception Module

open access: yesMathematics, 2023
Image classification is typically a research area that trains an algorithm for accurately identifying subjects in images that have never been seen before.
Shtwai Alsubai   +5 more
doaj   +1 more source

Quantum Computing for Pattern Classification [PDF]

open access: yes, 2014
14 pages, 3 figures, presented at the 13th Pacific Rim International Conference on Artificial ...
Maria Schuld   +2 more
openaire   +2 more sources

Symmetry of Open Quantum Systems: Classification of Dissipative Quantum Chaos

open access: yesPRX Quantum, 2023
We develop a theory of symmetry in open quantum systems. Using the operator-state mapping, we characterize symmetry of Liouvillian superoperators for the open quantum dynamics by symmetry of operators in the double Hilbert space and apply the 38-fold ...
Kohei Kawabata   +4 more
doaj   +1 more source

Quantum noise protects quantum classifiers against adversaries

open access: yesPhysical Review Research, 2021
Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies. However, noise has often played beneficial roles, from enhancing weak signals in stochastic resonance to
Yuxuan Du   +4 more
doaj   +1 more source

Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements

open access: yesQuantum Reports, 2022
In quantum machine learning, feature vectors are encoded into quantum states. Measurements for the discrimination of states are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
doaj   +1 more source

On the classification of quantum Poincaré groups [PDF]

open access: yesCommunications in Mathematical Physics, 1996
31 pages, LaTeX file, minor changes in Remarks 1.7 ...
Podleś, P., Woronowicz, S. L.
openaire   +4 more sources

An efficient geometric approach to quantum-inspired classifications

open access: yesScientific 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
doaj   +1 more source

MULTISPECTRAL REMOTE SENSING IMAGE CLASSIFICATION BASED ON QUANTUM ENTANGLEMENT [PDF]

open access: yesThe 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
doaj   +1 more source

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