Search Results - Quantum convolutional autoencoder*

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

Authors: Nalineekumari Arasavali Mogadala Vinod Kumar Sasibhushana Rao Gottapu et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Subject Terms: Quantum convolutional autoencoder, GNSS, Science, Satellite selection, Combined constellation, Sustainable Development Goal (SDG) 9:Industry, Innovation, and Infrastructure, SDG 11: Sustainable Cities and Communities, Medicine, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40082537
https://doaj.org/article/baf00827405b4ae7bdeb1dbfabf77448

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder

Authors: Orduz, Javier Rivas, Pablo Baker, Erich

Subject Terms: Machine Learning, FOS: Computer and information sciences, Quantum Physics, FOS: Physical sciences, Quantum Physics (quant-ph), I.2.6, F.1.2, Machine Learning (cs.LG), 81P68, 68T07

Access URL: http://arxiv.org/abs/2509.00637

Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction

Authors: Tara Kit Kimsay Pov Kimleang Kea et al.

Source: Machine Learning: Science and Technology, Vol 6, Iss 4, p 045027 (2025)

Subject Terms: quantum computing, quantum convolutional autoencoder, variational quantum algorithm, quantum machine learning, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2632-2153

Access URL: https://doaj.org/article/4efa9a37709b46e288463e3f8e36321f

Comparative Analysis of Quantum and Classical Convolutional Autoencoders on the MNIST Dataset

Additional Titles: Komparativ analys av kvantiska och klassiska konvolutionerande autokodare på MNIST datasetet

Authors: Astorga Castillo, Dante Friman, Lukas

Index Terms: Quantum computing, Quantum neural network, Quantum machine learning, Convolutional autoencoder, Quantum convolutional autoencoder, Quanvolution, Quanvolutional autoencoder, Kvantberäkning, Kvantneurala nätverk, Kvantmaskininlärning, Konvolutionerande autokodare, Kvantkonvolutionerande autokodare, Computer and Information Sciences, Data- och informationsvetenskap, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351190
TRITA-EECS-EX ; 2024:389

Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction

Authors: Kea, Kimleang Chang, Won-Du Park, Hee Chul et al.

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2401.06367

A QUANTUM CONVOLUTION AUTOENCODER FOR HANDWRITTEN LETTERS AND DIGITS: A CASE STUDY.

Authors: SAWERWAIN, MAREK KOWAL, MAREK KORBICZ, JÓZEF

Source: International Journal of Applied Mathematics & Computer Science; 2025, Vol. 35 Issue 4, p651-666, 16p

QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus

Authors: Meghana R Sowmyashree Sakrepatna Ramesha Adwitiya Mukhopadhyay

Source: MethodsX, Vol 15, Iss , Pp 103471- (2025)

Subject Terms: A hybrid of Quantum Convolutional Autoencoder and Quantum Orthogonal Classifier with SVM, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016125003164; https://doaj.org/toc/2215-0161

Access URL: https://doaj.org/article/5286ad309eb3460d901086c120afb62a

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats

Authors: Pablo Rivas Javier Orduz Tonni Das Jui et al.

Source: Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 944-964 (2024)

Subject Terms: convolutional neural network, quantum computing, autoencoder, dimensionality reduction, representation learning, quanvolutional autoencoder, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: https://www.mdpi.com/2504-4990/6/2/44; https://doaj.org/toc/2504-4990

Access URL: https://doaj.org/article/2b35662d3fbc43b2ad98d75923c01a86

CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer

Authors: Abdullah Khan Muhammad Zaheer Sajid Nauman Ali Khan et al.

Source: Bioengineering, Vol 12, Iss 4, p 326 (2025)

Subject Terms: skin lesion classification, artificial intelligence in healthcare, deep learning, convolutional neural network (CNN), quantum support vector machine (QSVM), Internet of Things (IoT), Technology, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://www.mdpi.com/2306-5354/12/4/326; https://doaj.org/toc/2306-5354

Access URL: https://doaj.org/article/bbacd5c436614f4a87c7597d8a50a5a8

Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction

Authors: Kit, Tara Pov, Kimsay Kea, Kimleang et al.

Subject Terms: Quantum Physics

Relation: http://arxiv.org/abs/2401.06367

Availability: http://arxiv.org/abs/2401.06367

Quantum autoencoders for image classification

Authors: Asaoka, Hinako Kudo, Kazue

Index Terms: Quantum Physics, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2502.15254

Comparative Analysis of Quantum and Classical Convolutional Autoencoders on the MNIST Dataset ; Komparativ analys av kvantiska och klassiska konvolutionerande autokodare på MNIST datasetet

Authors: Astorga Castillo, Dante Friman, Lukas

Subject Terms: Quantum computing, Quantum neural network, Quantum machine learning, Convolutional autoencoder, Quantum convolutional autoencoder, Quanvolution, Quanvolutional autoencoder, Kvantberäkning, Kvantneurala nätverk, Kvantmaskininlärning, Konvolutionerande autokodare, Kvantkonvolutionerande autokodare, Computer and Information Sciences, Data- och informationsvetenskap

File Description: application/pdf

Relation: TRITA-EECS-EX; 2024:389

Availability: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-351190

Machine learning enhanced evaluation of semiconductor quantum dots

Authors: Emilio Corcione Fabian Jakob Lukas Wagner et al.

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Subject Terms: Quantum technology, Semiconductor quantum dot, Single photon source, Machine-learning-based evaluation, Convolutional autoencoder, Neural network regression, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/de516114492d4a43929e441ae9c5cca7

Machine learning approach to reconstruct density matrices from quantum marginals

Authors: Daniel Uzcategui-Contreras Antonio Guerra Sebastian Niklitschek et al.

Source: Machine Learning: Science and Technology, Vol 6, Iss 2, p 025068 (2025)

Subject Terms: machine learning, autoencoders, Quantum Marginal Problem, quantum information, convolutional neural networks, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2632-2153

Access URL: https://doaj.org/article/6e618eb4df2642c88426f318915f1586

Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification

Authors: Sarkar, Shaswata Mahernob Ahmed, Sheikh Iftekhar Mahmud, Jishnu et al.

Subject Terms: Machine Learning, FOS: Computer and information sciences, Quantum Physics, FOS: Physical sciences, Quantum Physics (quant-ph), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2507.02086

A Novel Quantum Convolution Neural Network for Image Classification Applications.

Authors: Venkatappa, Venkatachalapathy Madhavanna Venkateshappa

Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27046-27051, 6p

Subject Terms: QUANTUM computing, DEEP learning, IMAGE recognition (Computer vision), FEATURE extraction, QUANTUM computers

A black-box attack method of machine learning algorithms based on quantum autoencoders.

Authors: Tan, Dong Yan, Lili Zhao, Jiayu et al.

Source: Physica A. Dec2025, Vol. 680, pN.PAG-N.PAG. 1p.

Subject Terms: *MACHINE learning, *QUANTUM computing, *QUANTUM computers

QHF-CS: Quantum-Enhanced Heart Failure Prediction Using Quantum CNN with Optimized Feature Qubit Selection with Cuckoo Search in Skewed Clinical Data.

Authors: Kottapalle, Prasanna Tak, Tan Kuan Kshirsagar, Pravin Ramdas et al.

Source: Computers, Materials & Continua; 2025, Vol. 84 Issue 2, p3857-3892, 36p

Subject Terms: CONVOLUTIONAL neural networks, PARTICLE swarm optimization, HEART failure, MACHINE learning, PSYCHOSOCIAL factors, SUPPORT vector machines

Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks

Authors: Khoo, Jun Yong Gan, Chee Kwan Ding, Wenjun et al.

Subject Terms: Quantum Physics, FOS: Physical sciences, Quantum Physics (quant-ph)

Access URL: http://arxiv.org/abs/2411.13468

Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory.

Authors: Baul, Anshumitra Fotso, Herbert Terletska, Hanna et al.

Source: Quantum Reports; Jun2025, Vol. 7 Issue 2, p18-N.PAG, 25p

Subject Terms: CONVOLUTIONAL neural networks, QUANTUM phase transitions, MEAN field theory, METAL-insulator transitions, HUBBARD model, QUANTUM computers