4 citations · 8 across the 6 of their papers we have counts for
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quant-ph2025★ 3 cited
Almost fault-tolerant quantum machine learning with drastic overhead reduction
Haiyue Kang, Younghun Kim, Eromanga Adermann +2
Errors in the current generation of quantum processors pose a significant challenge towards practical-scale implementations of quantum machine learning (QML) as they lead to traina…
quant-ph2025★ 4 cited
Variational Quantum Machine Learning with Quantum Error Detection
Eromanga Adermann, Hajime Suzuki, Muhammad Usman
Quantum machine learning (QML) is an emerging field that promises advantages such as faster training, improved reliability and superior feature extraction over classical counterpar…