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I'm interested in quantum computing, specifically in “quantum machine learning” (QML). I'm going to start my masters program in computer science and have previous experience in classical machine learning. I'd like to learn quantum mechanics generally but focus on quantum algorithms.

I have read about Qiskit and Pennylane, but I'm unsure where to look next. Could you recommend books, courses, and papers to gain background into QML? My goal is to use Qiskit and Pennylane to develop QML algorithms in NISQ systems for data science and big data.

Another question - can we use quantum computing to develop Bayesian deep learning models (Gaussian processes, bayesian quantum circuits) for data science and big data? Thanks in advance.

Possible duplicate of Introductory material for quantum machine learning

– Sanchayan Dutta – 2019-11-23T04:38:39.793