Results 271 to 280 of about 2,829,604 (309)

Equivariant Isomorphism of Quantum Lens Spaces of Low Dimension. [PDF]

Commun Math Phys
Eilers S, Zegers SE.
europepmc   +1 more source

Quantum-entangled feature selection and spiking graph transformer networks for early detection of childhood behavioral markers. [PDF]

Front Behav Neurosci
M K, Joseph ER, Patil S, K S.
europepmc   +1 more source

A novel diabetic retinopathy detection from fundus images using hybrid quantum convolutional neural network models. [PDF]

Sci Rep
Menaka SR, Muthusamy S, Sidhu PK, Routray A, Maheswari GU, Bacanin N.   +5 more
europepmc   +1 more source

Correction: Quantum-SpinalNet: a hybrid deep learning approach for mammographic breast cancer detection. [PDF]

Front Digit Health
Jaincy D E M, Pattabiraman V.
europepmc   +1 more source

A quantum multi-sensor data fusion self-supervised learning framework for IIoT anomaly detection. [PDF]

Sci Rep
Guo Y, Zhao P, Wang X, Wei X, Li X, Zhang E.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

On Classification of Quantum Channels

Open Systems & Information Dynamics, 2001
Quantum mutual entropy and quantum capacity are rigorously defined by Ohya, and they are quite useful in the study of quantum communication processes [4, 7, 8, 9,10]. Mathematical models of optical communication processes are described by a quantum channel and optical states, and quantum capacity is one of the most important criteria to measure the ...
Satoshi Iriyama, Noboru Watanabe
openaire   +2 more sources

Deep Quantum Networks for Classification

2010 20th International Conference on Pattern Recognition, 2010
This paper introduces a new type of deep learning method named Deep Quantum Network (DQN) for classification. DQN inherits the capability of modeling the structure of a feature space by fuzzy sets. At first, we propose the architecture of DQN, which consists of quantum neuron and sigmoid neuron and can guide the embedding of samples divisible in new ...
Shusen Zhou, Qingcai Chen, Xiaolong Wang 0001   +2 more
openaire   +2 more sources

Quantum-inspired Classification Algorithms [PDF]

We present algorithms for supervised classification tasks in machine learning that are inspired by quantum mechanics. They rely on the so-called problem of quantum state discrimination, which consists in identifying which one of a known set of quantum states has been prepared based on the outcome of a quantum measurement on the state.
Zambrini Cruzeiro, Emmanuel, De Mol, Christine, Massar, Serge, Pironio, Stefano   +3 more
openaire   +1 more source

Quaternion Quantum Neural Network for Classification

Advances in Applied Clifford Algebras, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guillermo Altamirano-Escobedo, Eduardo Bayro-Corrochano   +1 more
openaire   +1 more source

Quantum Classification Algorithms

2020
This chapter covers the topic of quantum classification algorithms. You will see how quantum classification algorithms are implemented in real life. Code examples are presented for different algorithms such as quantum classifiers, support vector machines, and sparse support vector machines.
openaire   +1 more source