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I'm new in the area and I'm quite curious.

  • What are the main advantages of quantum machine learning over "classical" machine learning (from sklearn library, for example)?
  • Is just only a boost to the computational process or it could be a way for building better models (in term of bias/variance trade-off - more generalized model)?
  • Are the super-positions (and other quantum characteristics) a way for capturing better statistical properties (so, maybe, quantum computation can be used in a sort of "features engineering" step)?

thanks everyone!

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  • $\begingroup$ This might be helpful. $\endgroup$
    – narip
    Oct 23 '21 at 5:31
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    $\begingroup$ Welcome to QCSE! If you have multiple questions, please submit them as multiple posts. $\endgroup$ Oct 23 '21 at 6:50
  • $\begingroup$ Ok, sorry for that! $\endgroup$
    – Daniele
    Oct 23 '21 at 17:16

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