Lectures related to Postulates of Quantum Mechanics

Explores basis transformation, eigenvalues, and linear operators in inner product spaces, emphasizing their significance in Quantum Mechanics.

Explores the postulates of Quantum Mechanics, emphasizing the state of a system as a complex-valued vector in a Hilbert space.

Explains the postulates of quantum mechanics and the representation of observables by operators.

Explores the role of linear operators in Quantum Mechanics and linear algebra, emphasizing eigenvalues and basis transformations.

Discusses measurement in Quantum Mechanics, focusing on state vectors, observables, eigenvalues, and probabilities.

Covers the basics of quantum mechanics, focusing on Hamiltonian operator and Schrödinger equations.

Explores eigenvalue problems, eigenbasis, spectral theorem, and properties of normal operators.

Explores Hermitian operators, auto-adjoint properties, and spectral theorems in Hermitian spaces.

Covers quantum eigenfunctions and the importance of A and B commuting for the same set of eigenfunctions.

Offers a crash course on quantum mechanics, emphasizing self-adjoint operators and quantum information.

Introduces the postulates of Quantum Mechanics, focusing on states in a Hilbert space and the role of observables.

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

Explores symmetric linear operators, eigenvalues, and eigenvectors in functional analysis.

Covers fundamental concepts in quantum mechanics, including vector spaces, superposition, observables, and inner product.

Explores the motivation for studying linear operators in Quantum Mechanics, emphasizing their essential role and practical applications.

Covers state vectors, Dirac notation, inner product, eigenvectors, and operators in quantum physics.

Covers the essential concepts of adjoint operators, spectrum, and resolvent sets in operator theory.

Explores vector spaces, linear transformations, matrices, eigenvalues, inner products, and operators.

Explores the application of linear algebra in quantum mechanics, emphasizing vector spaces, Hilbert spaces, and the spectral theorem.

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