Unitary matrix

Related lectures (27)

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Covers the norm of a matrix, operator, singular values, and unitary matrices in linear algebra.

Covers the principles of quantum physics, focusing on tensor product spaces and entangled vectors.

Covers the representation theory of unitary minimal models and the Virasoro algebra.

Covers common emitter, common base, and common collector configurations, with an example application of cascading circuits.

Covers the spherical Hecke algebra and finite-dimensional unitary representations.

Introduces quantum mechanics, covering S-matrix, scattering amplitudes, and optical theorem.

Introduces LU decomposition for efficient linear equation solving using matrix factorization.

Explores the quantum circuit model of computation, focusing on unitary gates and multi-controlled gates.

Covers the method of diagonalizing a symmetric matrix using an orthogonal matrix.

Explores the matrix representation of operators and basis transformation in linear algebra.

Covers Shor's factoring algorithm and the link between order finding and factoring.

Explores matrix factorization optimization, evaluation methods, and challenges in recommendation systems.

Covers the concepts of image and kernel in linear algebra, focusing on uniqueness and orthogonal projections.

Explores stochastic optimization, adaptive gradient methods, recommender systems, and matrix factorization in user-item rating matrices.

Covers the proof of unitary group uniqueness and spectral types.

Explores Principal Series representations in mathematics, unitary properties, eigenvalues, and Satake parameter.

Covers the extension of bounded linear transformations and the free propagator in L^2 spaces.

Explores area determination, linear applications, matrix operations, and vector spaces.

Explores the Wigner theorem, translation symmetry, eigenstates, and wave functions in quantum physics.

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