233 citations · 386 across the 10 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 26 cited
Hierarchical quantum circuit representations for neural architecture search
Matt Lourens, Ilya Sinayskiy, Daniel K. Park +2
Machine learning with hierarchical quantum circuits, usually referred to as Quantum Convolutional Neural Networks (QCNNs), is a promising prospect for near-term quantum computing.…
quant-ph2022★ 20 cited
Compact quantum kernel-based binary classifier
Carsten Blank, Adenilton J. da Silva, Lucas P. de Albuquerque +2
Quantum computing opens exciting opportunities for kernel-based machine learning methods, which have broad applications in data analysis. Recent works show that quantum computers c…