Hidden Subgroup AlgorithmCovers the Hidden Subgroup Algorithm in quantum computing, emphasizing projectors and measurement postulates.
Diagonalization: ProjectorsExplores diagonalization through projectors and matrices of projection in relation to eigenvalues and eigenvectors.
Linear Algebra ReviewCovers the basics of linear algebra, including matrix operations and singular value decomposition.
Mixtures: introductionIntroduces mixtures, covers discrete and continuous mixtures, explores examples, and discusses combining probit and logit models.
Convex Sets: MGT-418 LectureOn Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Quantum EntropyCovers quantum entropy, density matrices, and entanglement in quantum information theory.