2021
DOI: 10.1038/s41467-021-25451-4
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Quantum enhanced multiple-phase estimation with multi-mode N00N states

Abstract: Quantum metrology can achieve enhanced sensitivity for estimating unknown parameters beyond the standard quantum limit. Recently, multiple-phase estimation exploiting quantum resources has attracted intensive interest for its applications in quantum imaging and sensor networks. For multiple-phase estimation, the amount of enhanced sensitivity is dependent on quantum probe states, and multi-mode N00N states are known to be a key resource for this. However, its experimental demonstration has been missing so far … Show more

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Cited by 35 publications
(15 citation statements)
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“…where P N (φ) is the relative phase distribution of Eq. (10). By considering terms up to (δφ) 2 i the Taylor expansion of the fidelity, we have…”
Section: Relative Phase Distributionmentioning
confidence: 99%
See 2 more Smart Citations
“…where P N (φ) is the relative phase distribution of Eq. (10). By considering terms up to (δφ) 2 i the Taylor expansion of the fidelity, we have…”
Section: Relative Phase Distributionmentioning
confidence: 99%
“…is the Fisher information for the LSS relative phase distribution P N (φ) of Eq. (10). The Fisher information of Eq.…”
Section: Relative Phase Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, extending toward the multiple phase estimation with the QCRB has attracted considerable interest more recently, thereby resulting in the potential applications [27][28][29][30][31][32][33][34], such as quantum-enhanced sensor network [29][30][31][32] and optical imaging [33,34]. Moreover, in order to improve the precision of multiple-phase estimation, multimode NOON (or NOON-like) states [35][36][37][38][39], generalized entangled coherent states [40] and multimode Gaussian states [41] have been considered, even in the presence of noisy environment [42][43][44][45]. More interestingly, by using correlated quantum states, the simultaneous estimation performance of multiple phases can show a significant advantage scaling as O(d) with the number of phase shifts d over the optimal individual case [35], but the O(d) advantage would fade away in photon-loss scenarios [45].…”
Section: Introductionmentioning
confidence: 99%
“…The QFI was measured in various experiments by using different methods [16][17][18][19][20][21]. While recent experiments tested and verified the CRB through QFI measurements in the context of single-parameter-evaluation schemes [21], the extension to multi-parameter scenarios is generally more complex due to the possible incompatibility of optimal quantum measurements targeting each parameter [22][23][24][25][26][27][28][29][30][31][32].…”
mentioning
confidence: 99%