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I want to make my quantum machine learning algorithms. As far as I understand I must learn: basics of quantum physics, quantum computing (and algorithms), classical machine learning, quantum information; anything else?

And from where would you advise me to start studying?

Do I really need to learn quantum computing or do you have some books or helpful sources?

I will be very grateful!

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Related:Introductory material for quantum machine learning. BTW you don't need to learn quantum information to study QML. All the basics you need to get started is there in Nielsen and Chuang's textbook. On the side, you could start reading the review papers on this subject. I've also heard good things about Wittek's textbook although I haven't read it. (I will try to elaborate on this in an answer later.) – Sanchayan Dutta – 2019-02-22T20:00:14.5902To start with: What do you know? – Norbert Schuch – 2019-02-23T07:20:09.697

1quantum machine learning, if meant in the sense of applying quantum algorithms to solve problems analogous to those solve by classical machine learning algorithms (such as pattern recognition and such), is essentially a subfield of quantum computing. So I would say yes, you definitely need to learn quantum computing as a requirement. (Unless of course by QML you mean other things, such as applying classical machine learning to problems arising in quantum mechanics) – glS – 2019-02-23T17:41:33.617