User:Zpopovych/sandbox

Quantum machine learning skepticism

While Machine Learning itself is now not only a research field but an economically significant and fast growing industry and Quantum Computing is a well established field of both theoretical and experimental research, Quantum Machine Learning remains a purely theoretical field of studies. Attempts to prove experimentally concepts of Quantum Machine Learning remain rear and insufficient.

Many of the leading scientists that extensively publish in the field of Quantum Machine Learning beware about the extensive hype around the topic and are very restrained if ever speaking about any practical use of it in a foreseen future. Sophia Chen collected some of the statements made by well known scientists in the field:


 * "I think we haven't done our homework yet. This is an extremely new scientific field," - physicist Maria Schuld of Canada-based quantum computing startup Xanadu.
 * "There is a lot more work that needs to be done before claiming quantum machine learning will actually work," - computer scientist Iordanis Kerenidis, the head of quantum algorithms at the Silicon Valley-based quantum computing startup QC Ware.


 * "I have not seen a single piece of evidence that there exists a meaningful [machine learning] task for which it would make sense to use a quantum computer and not a classical computer," - physicist Ryan Sweke of the Free University of Berlin in Germany.

“Don’t fall for the hype!” -  Frank Zickert, who is the author of probably the most practical book related to the subject beware that ”quantum computers are far away from advancing machine learning for their representation ability”, and even speaking about evaluation and optimization for any kind of useful task quantum supremacy is not yet achieved. Furthermore, nobody among the active researchers in the field make any forecasts about when it could possibly become practical.