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In last year‘s conference "Quantum For Business 2019" Iordanis Kerenidis gave a nice talk about quantum machine learning.

At about time 27:10 he mentions a "Quantum Data loader" as an alternativ for QRAM. To me it sounds very concrete but I can not find any reference for it. Has somebody any details about it or did I get this wrong? I have looked at arxiv papers 1911.01117 and 1812.03584, that he probably referred to in his talk. But these seem to use QRAM explicitely.

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He generally refers to QRAM. But there are other ways to load data in a quantum computer, generally referred as quantum embeddings or quantum feature maps. They are generally more near-term oriented than QRAM. Yet with a QRAM, you can design an algorithm with the goal of obtaining a possible expression of a speedup against a classical version. This article, and this one are examples/references you can learn about quantum embeddings and quantum feature maps.

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  • $\begingroup$ great, thank you for the references $\endgroup$ – Jens Marre Apr 7 at 15:48

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