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pro vyhledávání: '"Marso, Marwa"'
Autor:
Kiwit, Florian J., Wolf, Maximilian A., Marso, Marwa, Ross, Philipp, Lorenz, Jeanette M., Riofrío, Carlos A., Luckow, Andre
Quantum computing promises a disruptive impact on machine learning algorithms, taking advantage of the exponentially large Hilbert space available. However, it is not clear how to scale quantum machine learning (QML) to industrial-level applications.
Externí odkaz:
http://arxiv.org/abs/2403.18662
Autor:
Kiwit, Florian J., Marso, Marwa, Ross, Philipp, Riofrío, Carlos A., Klepsch, Johannes, Luckow, Andre
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 techniques, and hyper-parameters selection. The QUantum computing Appli
Externí odkaz:
http://arxiv.org/abs/2308.04082