Search Results for author:
Found 3 papers, 0 papers with code
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms
In this paper, we propose a novel training scheme to mitigate such noise-induced gradient vanishing.
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
In this paper, we propose a novel training scheme to mitigate such noise-induced gradient vanishing.
Generalized Transformation-based Gradient
The reparameterization trick has become one of the most useful tools in the field of variational inference.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
