Results 41 to 50 of about 2,829,604 (309)
Incremental Data-Uploading for Full-Quantum Classification
, 2022 The data representation in a machine-learning model strongly influences its performance. This becomes even more important for quantum machine learning models implemented on noisy intermediate scale quantum (NISQ) devices.
Periyasamy, Maniraman +6 more
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Quantum Convolutional Circuits for Earth Observation Image Classification
, 2022 The amount of study on Quantum Machine Learning (QML) is increasing extensively due to its potential advantages in terms of representational power and computational resources.
Grossi, Michele +3 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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Rapid Classification of Quantum Sources Enabled by Machine Learning
, 2020 Deterministic nanoassembly may enable unique integrated on-chip quantum photonic devices. Such integration requires a careful large-scale selection of nanoscale building blocks such as solid-state single-photon emitters by means of optical ...
Theodor Isacsson +11 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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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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Satellite image classification with neural quantum kernels [PDF]
Achieving practical applications of quantum machine learning (QML) for real-world scenarios remains challenging despite significant theoretical progress.
Robert Farzan-Rodriguez +9 more
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A Comparative Study of Quantum Feature Maps and Quantum Classifiers for Heart Disease Prediction
AIThis research introduces a quantum machine learning (QML) approach for predicting heart disease (HD). The method combines preprocessing of data with quantum feature map (QFM) and quantum classification techniques.
Muhammad Minoar Hossain +2 more
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Implementing Magnetic Resonance Imaging Brain Disorder Classification via AlexNet–Quantum Learning
Mathematics, 2023 The classical neural network has provided remarkable results to diagnose neurological disorders against neuroimaging data. However, in terms of efficient and accurate classification, some standpoints need to be improved by utilizing high-speed computing ...
Naif Alsharabi +3 more
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Tools for Verifying Classical and Quantum Superintegrability [PDF]
, 2010 Recently many new classes of integrable systems in n dimensions occurring in classical and quantum mechanics have been shown to admit a functionally independent set of 2n−1 symmetries polynomial in the canonical momenta, so that they are in fact ...
Willard Miller, Jr. +8 more
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