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Eigenvalue

As explained in Quantum Programming in Depth

An eigenvalue is the scalar, here a unit-modulus complex phase factor, by which a linear transformation scales an associated eigenvector.

An eigenvalue is the scalar that multiplies an eigenvector when a unitary transformation is applied, leaving the vector otherwise unchanged. For a unitary, its absolute value is 1, so λ = e^(2πiθ), where θ is the corresponding real-valued eigenphase. section 5.3

Examples from quantum gates

For the Z gate, |0⟩ has eigenvalue 1 and eigenphase 0, while |1⟩ has eigenvalue −1 and eigenphase 0.5. The INC unitary also has eigenvalues i and −i, with eigenphases 0.25 and 0.75; the T gate has eigenvalue e^(iπ/4) and eigenphase 0.125 for |1⟩. section 5.3

How Quantum Programming in Depth covers it

How deep it goes
Defines eigenvalues, unit-modulus constraints, and eigenphases, then stops before detailing the phase-estimation procedure.
Examples
Uses Z, INC, and T gates with explicit eigenvectors, eigenvalues, decimal eigenphases, and binary eigenphases.
What you can do after
Evaluate/understand eigenvalues and convert unit-modulus eigenvalues into corresponding eigenphases.
How it connects
Connects eigenvalues with eigenvectors, unitary transformations, eigenphases, and phase estimation.

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