Solving 'barren plateaus' is the key to quantum machine learning (IMAGE)

DOE/Los Alamos National Laboratory

Solving 'barren plateaus' is the key to quantum machine learning

Caption

A barren plateau is a trainability problem that occurs in machine learning optimization algorithms when the problem-solving space turns flat as the algorithm is run. Researchers at Los Alamos National Laboratory have developed theorems to prove that any given algorithm will avoid a barren plateau as it scales up to run on a quantum computer.

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Los Alamos National Laboratory

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