2012
DOI: 10.1103/physreva.85.043817
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Optical interferometry in the presence of large phase diffusion

Abstract: Phase diffusion represents a crucial obstacle towards the implementation of high precision interferometric measurements and phase shift based communication channels. Here we present a nearly optimal interferometric scheme based on homodyne detection and coherent signals for the detection of a phase shift in the presence of large phase diffusion. In our scheme the ultimate bound to interferometric sensitivity is achieved already for a small number of measurements, of the order of hundreds, without using nonclas… Show more

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Cited by 79 publications
(80 citation statements)
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“…1). Formally, the presence of phase noise can be modeled by the following master equation [17][18][19][20][21][22][23][24][25]:…”
Section: Binary-outcome Detections Under the Phase Diffusionmentioning
confidence: 99%
See 1 more Smart Citation
“…1). Formally, the presence of phase noise can be modeled by the following master equation [17][18][19][20][21][22][23][24][25]:…”
Section: Binary-outcome Detections Under the Phase Diffusionmentioning
confidence: 99%
“…This conclusion is independent of the input states and the presence of noises. Next, we investigate the role of phase diffusion [17][18][19][20][21][22][23][24][25] on the binary-outcome homodyne detection, the parity measurement, and the Z measurement. Our analytical results show that the diffusion plays a role in a form of Nγ, rather than the phase-diffusion rate γ and the mean photon number N alone.…”
Section: Introductionmentioning
confidence: 99%
“…A possible solution for mitigating the effect of nonideal measurements consists of adapting the design of the probe [8][9][10][11][12]. This normally requires a trustworthy characterization of the measurement device which can be achieved by means of detector tomography [13], i.e., by reconstructing the action of the measurement device given the outcomes from a quorum of input preparations.…”
mentioning
confidence: 99%
“…The interaction with the sample might actually depend on other degrees of freedom, on which we might have limited control. A relevant example is given by dispersion e ects in phase estimation: if the phase under observation depends on the optical frequency of a photonic probe, the adoption of broad bandwidths would result in dephasing [13,[17][18][19]. An e cient way to tackle this is a joint estimation of the mean phase together with the characteristic width of the dephasing.…”
Section: Introductionmentioning
confidence: 99%