9 citations · 25 across the 11 of their papers we have counts for
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quant-ph2023★ 6 cited
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
Florian J. Kiwit, Marwa Marso, Philipp Ross +3
Benchmarking of quantum machine learning (QML) algorithms is challenging due to the complexity and variability of QML systems, e.g., regarding model ansatzes, data sets, training t…
quant-ph2023
Pooling techniques in hybrid quantum-classical convolutional neural networks
Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl +4
Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can prov…