Crash Course on Quantum Mechanics

Related lectures (31)

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

Explores the application of linear algebra in Quantum Mechanics, emphasizing its importance in understanding materials properties.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

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

Covers Dirac's notation in linear algebra and the tensor product concept in Hilbert spaces.

Explains the postulates of Quantum Mechanics, focusing on self-adjoint operators and mathematical notation.

Covers scalar products, orthogonal vectors, norms, and projections in vector spaces, emphasizing orthonormal families of vectors.

Covers the mathematical principles of quantum physics, including Hilbert spaces and quantum bits.

Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.

Covers electronic structure calculations using quantum mechanics and introduces fundamental concepts in computational quantum chemistry.