Results 41 to 50 of about 2,977,466 (210)
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
doaj +1 more source
Quantum cluster algorithm for data classification [PDF]
Materials Theory, 2021 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
openaire +3 more sources
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
core +1 more source
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
doaj +1 more source
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 +13 more
core +1 more source
Representation of binary classification trees with binary features by quantum circuits
, 2022 We propose a quantum representation of binary classification trees with binary features based on a probabilistic approach. By using the quantum computer as a processor for probability distributions, a probabilistic traversal of the decision tree can be ...
Bickert, Patricia +2 more
core +1 more source
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
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
Frontiers in Physics, 2022 Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes.
Denis Bokhan +7 more
doaj +1 more source
Local Approach to Quantum-inspired Classification [PDF]
, 2023 In the context of quantum-inspired machine learning, remarkable mathematical tools for solving classification problems are given by some methods of quantum state discrimination.
Leporini, Roberto
core +2 more sources