A team of researchers led by Yumin Dong of Chongqing Normal University has developed a novel method to optimize parametric quantum circuits, a critical component of variational quantum algorithms. The method combines the power of gradient-free natural evolutionary strategy with gradient descent to overcome the notorious "barren plateau" problem, offering promising prospects for quantum computing and machine learning.
A team of researchers led by Yumin Dong of Chongqing Normal University has developed a novel method to optimize parametric quantum circuits, a critical component of variational quantum algorithms. The method combines the power of gradient-free natural evolutionary strategy with gradient descent to overcome the notorious "barren plateau" problem, offering promising prospects for quantum computing and machine learning.
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