A Hermitian matrix is a square matrix that is equal to its own conjugate transpose. In mathematical terms, a matrix \( A \) is Hermitian if it satisfies the condition: \[ A = A^* \] where \( A^* \) denotes the conjugate transpose of \( A \).
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