In the past few days, I have been trying to collect material (mostly research papers) related to Quantum machine learning and its applications, for a summer project. Here are a few which I found interesting (from a superficial reading):
- Unsupervised Machine Learning on a Hybrid Quantum Computer (J.S. Otterbach et al., 2017)
- Quantum algorithms for supervised and unsupervised machine learning (Lloyd, Mohseni & Rebentrost, 2013)
- A Machine Learning Framework to Forecast Wave Conditions (James, Zhang & O'Donncha 2017)
- Quantum Neuron: an elementary building block for machine learning on quantum computers (Cao, Guerreschi & Aspuru-Guzik, 2017)
- Quantum machine learning for quantum anomaly detection (Liu & Rebentrost, 2017)
However, coming from the more physics-y end of the spectrum, I don't have much background knowledge in this area and am finding most of the specialized materials impenetrable. Ciliberto et al.'s paper: Quantum machine learning: a classical perspective somewhat helped me to grasp some of the basic concepts. I'm looking for similar but more elaborate introductory material. It would be very helpful if you could recommend textbooks, video lectures, etc. which provide a good introduction to the field of quantum machine learning.
For instance, Nielsen and Chuang's textbook is a great introduction to the quantum computing and quantum algorithms in general and goes quite far in terms of introductory material (although it begins at a very basic level and covers all the necessary portions of quantum mechanics and linear algebra and even the basics of computational complexity!). Is there anything similar for quantum machine learning?
P.S: I do realize that quantum machine learning is a vast area. In case there is any confusion, I would like to point out that I'm mainly looking for textbooks/introductory papers/lectures which cover the details of the quantum analogues of classical machine learning algorithms.