Suchergebnisse - "Quanvolutional autoencoder"

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

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

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

Schlagwörter: autoencoder, TK7885-7895, 0301 basic medicine, representation learning, Computer engineering. Computer hardware, 0303 health sciences, 03 medical and health sciences, convolutional neural network, quantum computing, dimensionality reduction, quanvolutional autoencoder

Zugangs-URL: https://doaj.org/article/2b35662d3fbc43b2ad98d75923c01a86

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

Autoren: Astorga Castillo, Dante Friman, Lukas

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

Dateibeschreibung: application/pdf

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

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

Autoren: Astorga Castillo, Dante Friman, Lukas

Schlagwörter: 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

Dateibeschreibung: application/pdf

Relation: TRITA-EECS-EX; 2024:389

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