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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Auteurs principaux: Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven
Format: article
Langue:EN
Publié: Nature Portfolio 2018
Sujets:
Q
Accès en ligne:https://doaj.org/article/2d565792ea6b4691bd7767c8d897c439
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