Probing nonclassicality with matrices of phase-space distributions
Year: 2020
Authors: Bohmann M., Agudelo E., Sperling J.
Autors Affiliation: Austrian Acad Sci, Inst Quantum Opt & Quantum Informat IQOQI Vienna, Boltzmanngasse 3, A-1090 Vienna, Austria; INO CNR, QSTAR, Largo Enrico Fermi 2, I-50125 Florence, Italy; LENS, Largo Enrico Fermi 2, I-50125 Florence, Italy; Paderborn Univ, Integrated Quantum Opt Grp, Appl Phys, D-33098 Paderborn, Germany
Abstract: We devise a method to certify nonclassical features via correlations of phase-space distributions by unifying the notions of quasiprobabilities and matrices of correlation functions. Our approach complements and extends recent results that were based on Chebyshev’s integral inequality [Phys. Rev. Lett. 124, 133601 (2020)]. The method developed here correlates arbitrary phase-space functions at arbitrary points in phase space, including multimode scenarios and higher-order correlations. Furthermore, our approach provides necessary and sufficient nonclassicality criteria, applies to phase-space functions beyond s-parametrized ones, and is accessible in experiments. To demonstrate the power of our technique, the quantum characteristics of discrete- and continuous-variable, single- and multimode, as well as pure and mixed states are certified only employing second-order correlations and Husimi functions, which always resemble a classical probability distribution. Moreover, nonlinear generalizations of our approach are studied. Therefore, a versatile and broadly applicable framework is devised to uncover quantum properties in terms of matrices of phase-space distributions.
Journal/Review: QUANTUM
Volume: 4 Pages from: 343-1 to: 343-16
KeyWords: PHOTON STATISTICS; QUANTUM-MECHANICS; COHERENT STATES; OPERATORSDOI: 10.22331/q-2020-10-15-343Citations: 16data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2023-01-29References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here