Quantum cluster algorithm for data classification [PDF]
AbstractWe present a quantum algorithm for data classification based on the nearest-neighbor learning algorithm. The classification algorithm is divided into two steps: Firstly, data in the same class is divided into smaller groups with sublabels assisting building boundaries between data with different labels.
Junxu Li, Sabre Kais
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Symmetry of Open Quantum Systems: Classification of Dissipative Quantum Chaos
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
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Quantum noise protects quantum classifiers against adversaries
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
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Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements
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
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Quantum support vector machines for classification and regression on a trapped-ion quantum computer [PDF]
Quantum machine learning is a rapidly growing field at the intersection of quantum computing and machine learning. In this work, we examine our quantum machine learning models, which are based on quantum support vector classification (QSVC) and quantum ...
Teppei Suzuki +2 more
semanticscholar +1 more source
MULTISPECTRAL REMOTE SENSING IMAGE CLASSIFICATION BASED ON QUANTUM ENTANGLEMENT [PDF]
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
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An efficient geometric approach to quantum-inspired classifications
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
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Quantum-Inspired Applications for Classification Problems
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
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Quantum Computing for Pattern Classification [PDF]
14 pages, 3 figures, presented at the 13th Pacific Rim International Conference on Artificial ...
Schuld, Maria +2 more
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Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis [PDF]
In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial. Recognizing the essential need for improved diagnostic precision, particularly for optimizing diagnosis time by swiftly handling easy-to-solve cases and ...
L. Lusnig +11 more
semanticscholar +1 more source

