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Quantum Shadow Gradient Descent for Variational Quantum Algorithms
The dataset used in this paper is a set of quantum states for training a variational quantum algorithm. -
Towards Riemannian Accelerated Gradient Methods
The dataset used in the paper is a Riemannian manifold with bounded sectional curvature. -
Gradient-based learning applied to document recognition
Gradient-based learning applied to document recognition. -
Comparing EM with GD in Mixture Models of Two Components
The dataset used in this paper is a mixture of two Gaussians and two Bernoullis. -
Quantum Trajectory Dataset
The dataset is used to demonstrate the proposed learning mechanism in quantum mechanics.
