Revisiting the Dolinar receiver through multiple-copy state discrimination theory

Assalini, A.; Pozza, Nicola Dalla; Pierobon, G.

doi:10.1103/physreva.84.022342

Cited by 52 publications

(54 citation statements)

References 10 publications

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“…However, Acin et al [9] have shown that the optimum can be achieved by adaptive local measurements on the single copies, each one taking into account the results of the previous measurements (for greater details see [10]). Confining ourselves to the case n = 2, assume that the optimum measurement has been performed on the first state with correct decision probability P (…”

Section: Dolinar's Receivermentioning

confidence: 98%

Implementation of QTLC Systems

Cariolaro

2015

Quantum Communications

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Section: Dolinar's Receivermentioning

confidence: 98%

Implementation of QTLC Systems

Cariolaro

2015

Quantum Communications

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“…However, it is one of the innermost consequences of the laws of quantum mechanics that nonorthogonal states cannot be discriminated with certainty. Optimal detection strategies were first investigated by Helstrom [20,21] and Holevo [22] and a lot of attention has since been devoted to the development of optimal and near-optimal receivers for binary coherent states [23][24][25][26][27][28][29][30][31][32] and for the discrimination of larger signal alphabets [33][34][35][36][37][38][39][40][41]. An overview over different receiver schemes is provided in Appendix B.…”

Section: Binary Coherent-state Cloningmentioning

confidence: 99%

Optimally cloned binary coherent states

et al. 2017

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Binary coherent state alphabets can be represented in a two-dimensional Hilbert space. We capitalize this formal connection between the otherwise distinct domains of qubits and continuous variable states to map binary phase-shift keyed coherent states onto the Bloch sphere and to derive their quantum-optimal clones. We analyze the Wigner function and the cumulants of the clones, and we conclude that optimal cloning of binary coherent states requires a nonlinearity above second order. We propose several practical and near-optimal cloning schemes and compare their cloning fidelity to the optimal cloner.

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“…For k = 0, we initialize the process using the given priors inh k = arg max j (π j ). The prior probabilities for target absence and presence based on all measurement outcomes up to and including those from the kth cycle are given by the Bayesian update rule [17,22],…”

Section: The Ff-sfg Receivermentioning

confidence: 99%

Entanglement-enhanced Neyman–Pearson target detection using quantum illumination

2017

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Abstract. Quantum illumination (QI) provides entanglement-based target detectionin an entanglement-breaking environment-whose performance is significantly better than that of optimum classical-illumination target detection. QI's performance advantage was established in a Bayesian setting with the target presumed equally likely to be absent or present and error probability employed as the performance metric. Radar theory, however, eschews that Bayesian approach, preferring the Neyman-Pearson performance criterion to avoid the difficulties of accurately assigning prior probabilities to target absence and presence and appropriate costs to false-alarm and miss errors. We have recently reported an architecture-based on sum-frequency generation (SFG) and feedforward (FF) processing-for minimum error-probability QI target detection with arbitrary prior probabilities for target absence and presence. In this paper, we use our results for FF-SFG reception to determine the receiver operating characteristicdetection probability versus false-alarm probability-for optimum QI target detection under the Neyman-Pearson criterion.

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Revisiting the Dolinar receiver through multiple-copy state discrimination theory

Cited by 52 publications

References 10 publications

Implementation of QTLC Systems

Implementation of QTLC Systems

Optimally cloned binary coherent states

Entanglement-enhanced Neyman–Pearson target detection using quantum illumination

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