Put and label the binary digits of by , with . The Walsh-Hadamard transform prepares the uniform quantum superposition . Applying the phase gate to the qubit for digit multiplies its basis amplitude by . Taking their product gives
With the most significant qubit written first, this proves
Each power is implemented by repeated uses of the supplied gate. The total is uses. This realizes dyadic phase-gate identification without needing an unknown controlled gate or asserting a gate-call cost polynomial in .
The inverse quantum Fourier transform in the original PDF has matrix elements multiplying . The converted TeX incorrectly repeats in the bra; using the actual PDF operator,
If , every summand of the inner sum is one, so it equals . If , let . Then and , and the finite geometric series gives . This is orthogonality of roots of unity. Hence
A quantum measurement in the computational basis consequently returns the integer with probability one.
The eigenvalue on of every power is one, and its eigenvalue on is . Thus
If is odd, its greatest common divisor with is one. Divisibility can therefore be cancelled, giving
In particular, the powers with are distinct. Each is the phase gate with , and multiplication by is a permutation of these residue classes. Equivalently, for any desired , choose , where is the modular inverse. Then , using the representative and repeated forward applications only. Thus the powers generate the entire set. Once the preceding identification procedure has found , these powers can also be labelled and selected classically.
Write the normalized qubit as , with . Only the amplitude changes between the two phase gates, so
Since ,
The phase-gate discretization error is uniform over all input states; its exact operator norm is . To choose an approximating gate, round to the nearest integer and reduce it modulo . Taking the shortest circular angle difference gives , and hence a uniform state-vector error at most . The circular choice handles the identified endpoints and correctly.

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