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. 2016 Aug 10;7:12279. doi: 10.1038/ncomms12279

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Copyright © 2016, The Author(s)

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(a,b) Stacks of correlation measurements for full ((a) η=1) and no entanglement ((b) η=0) between sensor and memory qubit for various sensing times as stacking parameter. Associated measurement sequences are given in Fig. 1c. The memory readout signal (that is, the probability of detecting state ) is plotted against the correlation time T_c (stack-offset n·0.4, n∈{0, 1, … 10}). Oscillations on the signal are introduced artificially by a phase offset , f_T=1 kHz (a) and f_T=0.5 kHz (b) to sample the stored quantum phase (see equations 6 and 7). All data sets are fit by . (c) Fit values for decay constant T_T over for no (squares, orange) and full (circles, purple) entanglement of sensor and memory. The function is fit to the weighted data and the corresponding parameters are displayed. (d) Signal contrast A₀ for T_c=0 over entanglement between sensor and memory qubit (given as negativity , see the ‘Methods' section). All error bars give standard errors taken from the used least square fit.

Inline graphic — (a,b) Stacks of correlation measurements for full ((a) η=1) and no entanglement ((b) η=0) between sensor and memory qubit for various sensing times as stacking parameter. Associated measurement sequences are given in Fig. 1c. The memory readout signal (that is, the probability of detecting state ) is plotted against the correlation time T_c (stack-offset n·0.4, n∈{0, 1, … 10}). Oscillations on the signal are introduced artificially by a phase offset , f_T=1 kHz (a) and f_T=0.5 kHz (b) to sample the stored quantum phase (see equations 6 and 7). All data sets are fit by . (c) Fit values for decay constant T_T over for no (squares, orange) and full (circles, purple) entanglement of sensor and memory. The function is fit to the weighted data and the corresponding parameters are displayed. (d) Signal contrast A₀ for T_c=0 over entanglement between sensor and memory qubit (given as negativity , see the ‘Methods' section). All error bars give standard errors taken from the used least square fit.