Results 51 to 60 of about 3,905,200 (321)
Operational interpretations of quantum discord [PDF]
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
core +2 more sources
Classification of quantum relativistic orientable objects
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
core +1 more source
Classification of Hybrid Quantum-Classical Computing
As quantum computers mature, the applicability in practice becomes more important. Many uses of quantum computers will be hybrid, with classical computers still playing an important role in operating and using the quantum computer. The term hybrid is however diffuse and multi-interpretable. In this work we define two classes of hybrid quantum-classical
Frank Phillipson +2 more
openaire +4 more sources
Dynamical classification of topological quantum phases [PDF]
14+pages, 8 figures.
Zhang, Lin +3 more
openaire +3 more sources
Local Approach to Quantum-inspired Classification
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blanzieri E., Leporini R., Pastorello D.
openaire +5 more sources
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
doaj +1 more source
wpScalable Quantum Neural Networks for Classification
11 pages, 10 figures, accepted by ...
Wu, Jindi, Tao, Zeyi, Li, Qun
openaire +2 more sources
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification
Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already become a bottleneck for analyzing large amounts of remote sensing
Fan Fan +3 more
semanticscholar +1 more source
Quantum K-Nearest Neighbors: Utilizing QRAM and SWAP-Test Techniques for Enhanced Performance
This 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
doaj +1 more source
Quantum image classification using principal component analysis
We present a novel quantum algorithm for classification of images. The algorithm is constructed using principal component analysis and von Neuman quantum measurements.
Gawron, Piotr +2 more
core +1 more source

