Lecture

Quantum Physics I

Related lectures (30)

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

Offers a crash course on quantum mechanics, covering vector spaces, superposition, observables, and self-adjoint operators.

Covers linear algebra in Dirac notation, focusing on vector spaces and quantum bits.

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

Explores the postulates of Quantum Mechanics, focusing on states, time evolution, and measurement.

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

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

Covers linear algebra in Dirac notation, emphasizing the scalar product and density product in quantum computations.

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

Covers the basics of quantum physics, including vector spaces, state vectors, operators, and measurements.

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

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

Explores the definition and properties of Hermitian forms in complex vector spaces.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

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

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

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

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

Covers the concept of 3D vector space, scalar product, bases, orthogonality, and projections.

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