140 citations · 142 across the 4 of their papers we have counts for
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Quantum Convolutional Autoencoders for Reconstruction-Based Anomaly Detection
Donovan Slabbert, Francesco Petruccione
Quantum convolutional neural networks (QCNNs) have become increasingly popular in quantum machine learning (QML) due to their efficient parameterization and hierarchical representa…
Quantum kernel and HHL-based support vector machines for multi-class classification
Gabriela Pinheiro, Donovan Slabbert, Luis Kowada +1
We compare two quantum approaches that use support vector machines for multi-class classification on a reduced Sloan Digital Sky Survey (SDSS) dataset: the quantum kernel-based QSV…
Hybrid Quantum-Classical Feature Extraction approach for Image Classification using Autoencoders and Quantum SVMs
Donovan Slabbert, Francesco Petruccione
In order to leverage quantum computers for machine learning tasks such as image classification, careful consideration is required: NISQ-era quantum computers have limitations, whic…
Microsatellite-based real-time quantum key distribution
Yang Li, Wen-Qi Cai, Ji-Gang Ren +38
A quantum network provides an infrastructure connecting quantum devices with revolutionary computing, sensing, and communication capabilities. As the best-known application of a qu…