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measurement trajectory Attention should be paid to several technical issues: rst, the nite dynamical range of the displacements (point A on the graph); second, the initial avalanche photodiode click is a timing signal, not a real detection event (B); and, third, the apparent rise time is that of the monitor photodiode not the feedback (C) Source Cook et al [40] (reprinted by permission from Macmillan Publishers Limited: [Nature] (Cook, RL, Martin, PJ, and Geremia, JM 446, p 774, 2007))



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4732 Closed-Loop Measurement The premise behind the closed-loop measurement is to displace the eld to the vacuum in each shot and decide which state is present on the basis of the displacement applied to cancel the eld As the controller gains increased con dence in its guess, it is better able to perform the correct nulling displacement From (444), the displacement magnitude |u | is inversely proportional to the time-dependent decit n sion uncertainty 1 e t/ Performing the optimization of (443) reveals that it is statistically optimal for the closed-loop measurement to reverse its state hypothesis with each detector click during the counting interval [41, 42] Many aspects of this closed-loop measurement are evident from the single-shot trajectory in Figure 43b At t = 0 there is no reason to prefer one state, |0 or | , over the other But as more data become available, the controller re nes its Bayesian estimate of the incoming optical state by updating the conditional probabilities P ( | [0,t] , u [0,t] ) The sequence of hypothesis reversals in the example closed-loop trajectory is denoted along with the measurement record in Figure 43b, trace 4 As the measurement record accumulates, the controller eventually settles on its nal (correct) decision, which in this case is | The data (circles) in Figure 43a demonstrate that the closed-loop state discrimination procedure (alternating guesses between |0 and | with each photon arrival) surpasses the shot-noise error probability for amplitudes | | less than about one The fundamental quantum limit is essentially saturated over a nontrivial region of parameter space n The data (circles) in Figure 43a were determined assuming that the optimal feedback control policy in (444) was implemented perfectly by selecting the state | {|0 , | } to maximize the conditional probability P [0,t] | , u This ap[0, ] proach is clearly suboptimal owing to the technical imperfections in the control displacements just described Actually, the raw measurement data should be reinterpreted to account for deviations between the feedback actually performed in the experiment u [0, ] and the optimum policy u [0, ] Owing to the nature of coherent states, the detection ef ciency (resulting from the combination of detector quantum ef ciency d and optical ef ciency e ) factors out of a comparison between the shot-noise and quantum limits [42] For comparison, the shot-noise error and quantum limits that would correspond to ideal detection ( = 1) have been plotted in Figure 43a The intrinsic ef ciency of the apparatus has been independently determined to be approximately W 035 The data (triangles) in Figure 43a re ect an analysis based on the true conditional probability P [0,t] | , u It can be seen that the Cook Martin Geremia [0, ] procedure nearly achieves the quantum limit (for the actual detection ef ciency) over the full range of coherent states investigated It can be observed that even with detection ef ciency = 035 the closed-loop measurement slightly outperforms the ideal shot-noise error that would be achieved in a technically lossless experiment = 1 for photon numbers n < 02.

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