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I want to know more details about the encoding process in machine learning. I have read the source code about the "ApproximateInputEncoder" method. It seems like a complex method. So is there any paper or document to explain the mechanism in detail of the encoding process?

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QDK machine learning library is based on the paper 'Circuit-centric quantum classifiers', Maria Schuld, Alex Bocharov, Krysta Svore and Nathan Wiebe, I would start looking for details there. Section A "State preparation" mentions preparing the input states and some references for the routines that can be used.

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  • $\begingroup$ Thank you. I have read the paper "Circuit-centric quantum classifiers", Section A doesn't seem to provide much information. Maybe I need to read the references paper. Thanks again. $\endgroup$
    – W.xueshan
    Commented Apr 27, 2022 at 2:17

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