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.
- SwaptTest
- DistCalc
- Grovers optimize
Am I right ?
