[22p-12C-1~18] KS.2 Quantum Information Engineering Group

1:00 PM - 1:15 PM JST(4:00 AM - 4:15 AM UTC)

[22p-12C-1] Analysis of the quantum feature map produced by physical qubit networks in quantum machine learning

〇Aoi Hayashi^1,2,3, Akitada Sakurai², William J. Munro², Kae Nemoto^2,3 (1.Department of Informatics, SOKENDAI, 2.OIST Graduate Univ., 3.NII)

Keywords:

Quantum Information,Quantum Machine Learning,Quantum Neural Networks

Quantum machine learning (QML) has recently gathered much attention as a promising near-term application. Driven by it, the relation between QML performance and the quantum feature map (QFM) has been studied. However, designing the physical qubit network for a good QFM on NISQ devices with limited qubit connectivities is highly non-trivial. In this talk, we will introduce our work on an analysis of the QFM produced by different qubit networks in a QML model.