Quantum Jump: Theory and Algorithms

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Covers quantum wire analysis, transmission function, and tunneling in dots.

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Delves into quantum uncertainty in measurements and probabilities, contrasting classical and quantum predictions.

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Delves into quantum mechanics, focusing on probability in potential wells and comparing classical and quantum predictions.

Covers the theory of open quantum systems and the dynamics of isolated systems.

Covers permutations, combinations, and poker hands calculation.

Covers probability distributions, moments, and continuous random variables.