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  2. Pauli matrices - Wikipedia

    en.wikipedia.org/wiki/Pauli_matrices

    The fact that the Pauli matrices, along with the identity matrix I, form an orthogonal basis for the Hilbert space of all 2 × 2 complex matrices , over , means that we can express any 2 × 2 complex matrix M as = + where c is a complex number, and a is a 3-component, complex vector.

  3. Eigendecomposition of a matrix - Wikipedia

    en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix

    Let A be a square n × n matrix with n linearly independent eigenvectors q i (where i = 1, ..., n).Then A can be factored as = where Q is the square n × n matrix whose i th column is the eigenvector q i of A, and Λ is the diagonal matrix whose diagonal elements are the corresponding eigenvalues, Λ ii = λ i.

  4. Spinors in three dimensions - Wikipedia

    en.wikipedia.org/wiki/Spinors_in_three_dimensions

    Given a unit vector in 3 dimensions, for example (a, b, c), one takes a dot product with the Pauli spin matrices to obtain a spin matrix for spin in the direction of the unit vector. The eigenvectors of that spin matrix are the spinors for spin-1/2 oriented in the direction given by the vector. Example: u = (0.8, -0.6, 0) is a unit vector ...

  5. Eigenspinor - Wikipedia

    en.wikipedia.org/wiki/Eigenspinor

    3 Example usage. 4 Properties. 5 See also. 6 References. ... For a single spin 1/2 particle, they can be defined as the eigenvectors of the Pauli matrices. General ...

  6. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    If the linear transformation is expressed in the form of an n by n matrix A, then the eigenvalue equation for a linear transformation above can be rewritten as the matrix multiplication =, where the eigenvector v is an n by 1 matrix. For a matrix, eigenvalues and eigenvectors can be used to decompose the matrix—for example by diagonalizing it.

  7. Two-state quantum system - Wikipedia

    en.wikipedia.org/wiki/Two-state_quantum_system

    The matrix is the 2×2 identity matrix and the matrices with =,, are the Pauli matrices. This decomposition simplifies the analysis of the system, especially in the time-independent case, where the values of α , β , γ {\displaystyle \alpha ,\beta ,\gamma } and δ {\displaystyle \delta } are constants.

  8. Concurrence (quantum computing) - Wikipedia

    en.wikipedia.org/wiki/Concurrence_(Quantum...

    Also, here, for a positive semidefinite matrix , denotes a positive semidefinite matrix such that =. Note that B {\displaystyle B} is a unique matrix so defined. A generalized version of concurrence for multiparticle pure states in arbitrary dimensions [ 5 ] [ 6 ] (including the case of continuous-variables in infinite dimensions [ 7 ] ) is ...

  9. Generalizations of Pauli matrices - Wikipedia

    en.wikipedia.org/wiki/Generalizations_of_Pauli...

    Multi-qubit Pauli matrices can be written as products of single-qubit Paulis on disjoint qubits. Alternatively, when it is clear from context, the tensor product symbol can be omitted, i.e. unsubscripted Pauli matrices written consecutively represents tensor product rather than matrix product. For example: