Theory of MCMCCovers the theory of Markov Chain Monte Carlo (MCMC) sampling and discusses convergence conditions, transition matrix choice, and target distribution evolution.
Probability ConvergenceExplores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.
Probability InequalitiesExplores probability inequalities, convergence types, and moment generating functions for distribution approximation.
NISQ and IBM QExplores NISQ devices and IBM Q, covering noisy quantum circuits, qubit technologies, and quantum algorithm development.
Lindblad equationCovers the interpretation of the Lindblad equation and its unitary part in quantum gases.