Results 11 to 20 of about 296,091 (283)

Quantum machine learning for image classification

open access: yesMachine Learning: Science and Technology
Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the ...
Arsenii Senokosov   +4 more
doaj   +3 more sources

Quantum measurement classification with qudits [PDF]

open access: yesQuantum Information Processing, 2021
15 pages, 10 ...
Diego H. Useche   +4 more
openaire   +3 more sources

Classification of Quantum Cellular Automata [PDF]

open access: yesCommunications in Mathematical Physics, 2020
53 pages, 15 figures; v2: minor corrections, final version in press; v3: minor typo ...
Freedman, Michael, Hastings, Matthew B.
openaire   +3 more sources

A Grover-search based quantum learning scheme for classification

open access: yesNew Journal of Physics, 2021
The hybrid quantum–classical learning scheme provides a prominent way to achieve quantum advantages on near-term quantum devices. A concrete example toward this goal is the quantum neural network (QNN), which has been developed to accomplish various ...
Yuxuan Du   +3 more
doaj   +1 more source

RETRACTED: Cost-sensitive classification algorithm combining the Bayesian algorithm and quantum decision tree

open access: yesFrontiers in Physics, 2023
This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments.
Naihua Ji   +5 more
doaj   +1 more source

Support Vector Machines with Quantum State Discrimination

open access: yesQuantum Reports, 2021
We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
doaj   +1 more source

Quantum Ensemble for Classification

open access: yes, 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
openaire   +2 more sources

Classification with Quantum Measurements [PDF]

open access: yesJournal of the Physical Society of Japan, 2021
This paper reports a novel method for supervised machine learning based on the mathematical formalism that supports quantum mechanics.
Fabio A. González   +2 more
openaire   +1 more source

Hybrid quantum-classical convolutional neural network for phytoplankton classification

open access: yesFrontiers in Marine Science, 2023
The taxonomic composition and abundance of phytoplankton have a direct impact on marine ecosystem dynamics and global environment change. Phytoplankton classification is crucial for phytoplankton analysis, but it is challenging due to their large ...
Shangshang Shi   +6 more
doaj   +1 more source

On Quantum Methods for Machine Learning Problems Part I: Quantum Tools

open access: yesBig Data Mining and Analytics, 2020
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on known ...
Farid Ablayev   +5 more
doaj   +1 more source

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