Results 41 to 50 of about 296,091 (283)
Operational interpretations of quantum discord [PDF]
, 2011 Quantum discord quantifies non-classical correlations going beyond the standard classification of quantum states into entangled and unentangled ones. Although it has received considerable attention, it still lacks any precise interpretation in terms of ...
A. Winter +8 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
doaj +1 more source
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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From Quantum Universal Enveloping Algebras to Quantum Algebras [PDF]
, 2007 The ``local'' structure of a quantum group G_q is currently considered to be an infinite-dimensional object: the corresponding quantum universal enveloping algebra U_q(g), which is a Hopf algebra deformation of the universal enveloping algebra of a n ...
A Ballesteros +18 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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Classification of quantum relativistic orientable objects
, 2010 Started from our work "Fields on the Poincare Group and Quantum Description of Orientable Objects" (EPJC,2009), we consider here a classification of orientable relativistic quantum objects in 3+1 dimensions.
A L Shelepin +11 more
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Quantum K-Nearest Neighbors: Utilizing QRAM and SWAP-Test Techniques for Enhanced Performance
MathematicsThis work introduces a quantum K-Nearest Neighbor (K-NN) classifier algorithm. The algorithm utilizes angle encoding through a Quantum Random Access Memory (QRAM) using n number of qubit addresses with O(log(n)) space complexity. It incorporates Grover’s
Alberto Maldonado-Romo +4 more
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Scientific Reports, 2023 The functional characterization of different neuronal types has been a longstanding and crucial challenge. With the advent of physical quantum computers, it has become possible to apply quantum machine learning algorithms to translate theoretical ...
Xavier Vasques, Hanhee Paik, Laura Cif
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Quantum-Inspired Applications for Classification Problems
Entropy, 2023 In the context of quantum-inspired machine learning, quantum state discrimination is a useful tool for classification problems. We implement a local approach combining the k-nearest neighbors algorithm with some quantum-inspired classifiers. We compare the performance with respect to well-known classifiers applied to benchmark datasets.
Bertini, Cesarino, Leporini, Roberto
openaire +3 more sources
Sensors, 2022 Quantum entanglement is a unique phenomenon of quantum mechanics, which has no classical counterpart and gives quantum systems their advantage in computing, communication, sensing, and metrology.
Syed Muhammad Abuzar Rizvi +4 more
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