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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.

jens7
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    Hi and welcome to Quantum Computing SE. Something on qRAM which may be useful: https://quantumcomputing.stackexchange.com/questions/9413/what-is-the-state-of-the-art-on-quantum-random-access-memories – Martin Vesely Apr 06 '20 at 21:52
  • thank you for the link – jens7 Apr 07 '20 at 15:49

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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.

cnada
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