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In mathematics, a unitary matrix is a (square) clip_image002complex matrix clip_image004satisfying the condition

clip_image006

where clip_image008is the identity matrix in n dimensions and clip_image010is the conjugate transpose (also called the Hermitian adjoint) of clip_image011. This condition implies that a matrix clip_image012is unitary if and only if it has an inverse which is equal to its conjugate transpose clip_image014

clip_image016

A unitary matrix in which all entries are real is an orthogonal matrix. Just as an orthogonal matrix clip_image018preserves the (real) inner product of two real vectors,

clip_image020

so also a unitary matrix clip_image011[1]satisfies

clip_image022

for all complex vectors x and y, where clip_image024is the standard inner product on clip_image026.

If clip_image012[1]is an clip_image027matrix then the following are all equivalent conditions:

  1. clip_image012[2]is unitary
  2. clip_image028is unitary
  3. the columns of clip_image011[2]form an orthonormal basis of clip_image026[1]with respect to this inner product
  4. the rows of clip_image011[3]form an orthonormal basis of clip_image026[2]with respect to this inner product
  5. clip_image012[3]is an isometry with respect to the norm from this inner product
  6. clip_image012[4]is a normal matrix with eigenvalues lying on the unit circle.

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