For short times, survival under unitary time evolution is . Dividing a fixed time into intervals and projecting back after each gives survival approaching one as . This suppression of departure by repeated projective measurements is the quantum Zeno effect.
For measurement-guided Zeno transfer, rotate the measured basis gradually to transport a known state. Let
Measure in these orthonormal bases successively for . Starting in , the probability to follow the outcome at every step is
Its final state is . If every outcome is retained without postselection, the final probability for is , also approaching one; histories with two switches can return to that branch. These two finite- probabilities should not be confused.
For a general unknown input, the same slowly turning measurements first resolve its amplitudes into the two branches, then drag each branch separately. In the large- limit, after discarding the records,
The first basis approaches the computational one as grows. Inserting an initial computational measurement makes this branch decomposition exact at the outset, without changing the limiting result. Relative phase is lost, so this procedure transports a known basis state with high probability rather than implementing a coherent Pauli X gate on an arbitrary qubit.

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