Results 11 to 20 of about 2,829,604 (309)
Quantum-Inspired Applications for Classification Problems [PDF]
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 +5 more sources
Quantum measurement classification with qudits [PDF]
Quantum Information Processing, 2021 15 pages, 10 ...
Diego H. Useche +4 more
openaire +3 more sources
Coloured image classification with quantum machine learning algorithms for intelligent transportation systems [PDF]
, 2023 Quantum computers have great potential to change the future of Artificial Intelligence (AI) applications for practical problems. There currently exist some algorithm design that takes exponential time on a classical computer can take polynomial time on a
Ria, Farina
core +1 more source
Classification of Quantum Cellular Automata [PDF]
Communications 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
Classification with Quantum Measurements [PDF]
Journal 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
Quantum Ensemble for Classification
, 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
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States [PDF]
, 2022 Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics.
Eneko Osaba +11 more
core +1 more source
Entropy, 2022 Quantum machine learning is a promising application of quantum computing for data classification. However, most of the previous research focused on binary classification, and there are few studies on multi-classification.
Yi Zeng +4 more
doaj +1 more source
A classification of quantum Hall fluids [PDF]
Journal of Statistical Physics, 1997 In this paper, the key ideas of characterizing universality classes of dissipation-free (incompressible) quantum Hall fluids by mathematical objects called quantum Hall lattices are reviewed. Many general theorems about the classification of quantum Hall lattices are stated and their physical implications are discussed.
Fröhlich, Jürg +2 more
openaire +2 more sources
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach [PDF]
, 2023 Quantum machine learning (QML) has attracted significant research attention over the last decade. Multiple models have been developed to demonstrate the practical applications of the quantum properties.
Deo, Ravinesh C. +11 more
core +1 more source