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smit14 / Quantum-K-means-algorithm

Quantum computation is now encroaching in every field of science. One such use of quantum computation is shown here in a field of machine learning. This repository contains code for quantum K-means clustering algorithm. The python code is developed using QISKIT library created by IBMQ.
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Open Danielle-Schuman opened 1 year ago

Danielle-Schuman commented 1 year ago

Dear Smit Thakkar,

My name is Daniëlle Schuman and I am a research associate at the Ludwig-Maximilians-University Munich, working on quantum computing and artificial intelligence. I am currently working on a project called PlanQK in which we are making a plattform providing descriptions and example implementations of important quantum AI algorithms.

I was tasked with implementing quantum k-means and found your implementation on Github. Since this is a really good one, in my opinion, I used it as a basis which I modified to match the SWAP-test-algorithm by Lloyd et al. Would it be alright with you if I published this implementation, which uses parts of your code, on our plattform? If so, would it be possible for you to add an open-source license (such as the BSD 3-Clause License, Apache 2.0 or GPL 3.0) to your code on Github, enabling me to license my code accordingly?

Thank you in advance for your answer!

Kind regards,

Daniëlle Schuman

Danielle-Schuman commented 11 months ago

Dear Smit Thakkar,

By now, this issue has become superfluous for me personally, because in the mean time, I have (for various reasons) changed my quantum k-means implementation by so much that is has become distinct from the one in this repository. Therefore, I do not think I have to license your code anymore (which I hope you agree with). However, I still think that adding a license to this repository would be nice for other people who might want to build upon your efforts.