Variational quantum metrology represents a powerful tool to optimize estimation strategies, resulting particularly beneficial for multiparameter estimation problems that often suffer from limitations ...
circuit.add_gate(VariationalGate::rx(QubitId(0), "theta1".to_string(), 0.1)); circuit.add_gate(VariationalGate::ry(QubitId(1), "theta2".to_string(), 0.2)); circuit ...
Risk adjustment is often necessary for outcome quality indicators (QIs) to provide fair and accurate feedback to healthcare professionals. However, traditional risk adjustment models are generally ...
Abstract: This chapter contains sections titled: Approximate Bayesian inference using the variational approach, Some examples, Alternative approximations; recursive methods, Some results and ...
Variational Autoencoders learn a probabilistic encoder that outputs parameters of a latent distribution (e.g., mean and variance) and a decoder that reconstructs from ...
ABSTRACT: In this paper, He’s variational iteration method is successfully employed to solve a nonlinear boundary value problem arising in the study of thin film flow of a third grade fluid down an ...
ABSTRACT: In this paper, variational iteration method and He-Laplace method are used to solve the nonlinear ordinary and partial differential equations. Laplace transformation with the homotopy ...
Abstract: Learning-enabled components (LECs) are widely used in cyber-physical systems (CPS) since they can handle the uncertainty and variability of the environment and increase the level of autonomy ...
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