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- W2809900510 abstract "We consider whether trainable quantum unitaries can be used to discover quantum speed-ups for classical problems. Using methods recently developed for training quantum neural nets, we consider Simon's problem, for which there is a known quantum algorithm which performs exponentially faster in the number of bits, relative to the best known classical algorithm. We give the problem to a randomly chosen but trainable unitary circuit, and find that the training recovers Simon's algorithm as hoped." @default.
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- W2809900510 date "2018-06-27" @default.
- W2809900510 modified "2023-09-29" @default.
- W2809900510 title "Learning Simon's quantum algorithm" @default.
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