I think I already understand the basics of the quantum k-means. So first we should apply the amplitude encoding technique on our n input vector. The amplitude encoding is coding the input vector in a quantum state. Then we could divide our quantum k-means into three different subcategories.

  1. SwaptTest
  2. DistCalc
  3. Grovers optimize

Am I right ?



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