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Adaptive Phase Measurements

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arxiv quant-ph/0202136 v1 pith:3AVJXIGB submitted 2002-02-25 quant-ph

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keywords phasefeedbackmeasurementsoptimumuncertaintystatesclosederive
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In this thesis I consider the general problem of how to make the best possible phase measurements using feedback. Both the optimum input state and optimum feedback are considered for both single-mode dyne measurements and two-mode interferometric measurements. I derive the optimum input states under general dyne measurements when the mean photon number is fixed, both for general states and squeezed states. I propose a new feedback scheme that introduces far less phase uncertainty than mark II feedback, and is very close to the theoretical limit. I also derive results for the phase variance when there is a time delay in the feedback loop, showing that there is a lower limit to the introduced phase variance, and this is approached quite accurately under some conditions. I derive the optimum input states for interferometry, showing that the phase uncertainty scales as 1/N for all the common measures of uncertainty. This is contrasted with the |j0>_z state, which does not scale as 1/N for all measures of phase uncertainty. I introduce an adaptive feedback scheme that is very close to optimum, and can give scaling very close to 1/N for the uncertainty. Lastly I consider the case of continuous measurements, for both the dyne and interferometric cases.

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  1. Knowledge-dependent optimal Gaussian strategies for phase estimation

    quant-ph 2024-12 conditional novelty 6.0 of 10

    The optimal Gaussian probe for homodyne phase estimation switches discontinuously from displaced coherent-like states to squeezed vacuum as the prior phase uncertainty shrinks.

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