| 1. | Which obviously remains true if is a Hermitian matrix.
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| 2. | Every matrix is consimilar to a real matrix and to a Hermitian matrix.
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| 3. | That is, the Hermitian matrix of the Fubini Study metric in this frame is
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| 4. | A Hermitian matrix is positive semidefinite if and only if all of its principal minors are nonnegative.
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| 5. | Mathematically, \ hat { \ rho } is a positive-semidefinite Hermitian matrix with unit trace.
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| 6. | Begin by choosing some value \ mu _ 0 as an initial eigenvalue guess for the Hermitian matrix A.
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| 7. | In the case that is identified with a Hermitian matrix, the matrix of can be identified with its conjugate transpose.
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| 8. | Under the covers, mathematically, any matrix can be decomposed into a Hermitian matrix and an anti-Hermitian matrix.
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| 9. | Under the covers, mathematically, any matrix can be decomposed into a Hermitian matrix and an anti-Hermitian matrix.
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| 10. | Phase estimation is used to transform the Hermitian matrix A into a unitary operator, which can then be applied at will.
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