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Barren plateaus in quantum neural network training landscapes

Gradient-based hybrid quantum-classical algorithms are often initialised with random, unstructured guesses. Here, the authors show that this approach will fail in the long run, due to the exponentially-small probability of finding a large enough gradient along any direction.

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Autori principali: Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2018-11-01
Serie:Nature Communications
Accesso online:https://doi.org/10.1038/s41467-018-07090-4
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