Mode reconstruction of a light field by multiphoton statistics

Goldschmidt, Elizabeth A.; Piacentini, Fabrizio; Berchera, I. Ruo; Polyakov, Sergey V.; Peters, Silke; Kück, S.; Brida, G.; Degiovanni, I. P.; Migdall, Alan L.; Genovese, M.

doi:10.1103/physreva.88.013822

Cited by 53 publications

(49 citation statements)

References 33 publications

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“…More specifically, basic sub-systems comprising an object under investigation can be identified by their contribution to that object's statistical properties. We find that this idea works well for mesoscopic and macroscopic states of light [1,2]. Using the measured photon number statistics of such a state of light, we extract the contributions of its elementary sub-processes, i.e., its constituent optical modes.…”

Section: Discussionmentioning

confidence: 99%

Software for Complete Mode Structure Analysis of a Light Field

Burenkov¹,

Polyakov²

2017

J. RES. NATL. INST. STAN.

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We present a software package aimed at simulating photon-number probability distributions of a range of classical and non-classical states of light. This software can generate arbitrary probability distributions from user-defined mode structure of a light field. It can also solve the reverse problem, i.e., reconstructing the mode structure of a light field from a given probability distribution. The mode structure fully defines a light field. Thus it provides information about the source of light without having to directly access the source. The multimode fields simulated by this software include those comprised of a number of thermal modes, a Poisson mode, and single-photon modes. In addition, conjugated multimode sources (such as those created via parametric downconversion (PDC) or four-wave mixing (FWM)) can be simulated. This software provides for a nearly-perfect reconstruction of multimode fields comprised of several correlated and uncorrelated thermal and Poisson modes. The code is particularly effective at characterizing mesoscopic quantum states of light. This software can be modified to include other types of modes (i.e., governed by other statistical distributions), as needed.

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Section: Discussionmentioning

confidence: 99%

Software for Complete Mode Structure Analysis of a Light Field

Burenkov¹,

Polyakov²

2017

J. RES. NATL. INST. STAN.

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“…when the number and types of modes are unknown. Note that alternative approach based on Glauber coherence functions was considered in [26] for the mode reconstruction of a single light field. However, while the two approaches are equivalent for dim states, they differ significantly for mesoscopic and bright states.…”

Section: Mode Reconstruction Methodsmentioning

confidence: 99%

“…It was established [26] that a 1D reconstruction through photon-number statistics works well when number of modes and their types are known beforehand. Furthermore, adding unoccupied modes to the reconstruction only requires expanding experimental data sets to achieve the same accuracy, but otherwise does not negatively affect the reconstruction.…”

Section: Appendix B: Unknown Source Typesmentioning

confidence: 99%

Full statistical mode reconstruction of a light field via a photon-number-resolved measurement

et al. 2017

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We present a method to reconstruct the complete statistical mode structure and optical losses of multimode conjugated optical fields using an experimentally measured joint photon-number probability distribution. We demonstrate that this method evaluates classical and non-classical properties using a single measurement technique and is well-suited for quantum mesoscopic state characterization. We obtain a nearly-perfect reconstruction of a field comprised of up to 10 modes based on a minimal set of assumptions. To show the utility of this method, we use it to reconstruct the mode structure of an unknown bright parametric down-conversion source.

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“…While usually the spectral and temporal properties of light fields are considered to be of highest interest, especially for studies of coherence properties, the quantum statistics of light fields matter as well [1][2][3]. During the last few years, experimental techniques aimed at studies of photon number statistics have improved significantly [4][5][6][7][8][9][10][11], as has the fundamental understanding of photon number statistics [12]. Recently, some emphasis has also been placed upon using the quantum statistics of the excitation light field as a degree of freedom in spectroscopy [13][14][15][16] and quantum-optical spectroscopy has recently been applied to reveal significant physical effects and new quasiparticles, such as dropletons [17,18].…”

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confidence: 99%

Photon-Statistics Excitation Spectroscopy of a Quantum-Dot Micropillar Laser

et al. 2015

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We introduce photon-statistics excitation spectroscopy and exemplarily apply it to a quantum-dot micropillar laser. Both the intensity and the photon number statistics of the emission from the micropillar show a strong dependence on the photon statistics of the light used for excitation of the sample. The results under coherent and pseudothermal excitation reveal that a description of the laser properties in terms of mean input photon numbers is not sufficient. It is demonstrated that the micropillar acts as a superthermal light source when operated close to its threshold. Possible applications for important spectroscopic techniques are discussed.

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Mode reconstruction of a light field by multiphoton statistics

Cited by 53 publications

References 33 publications

Software for Complete Mode Structure Analysis of a Light Field

Software for Complete Mode Structure Analysis of a Light Field

Full statistical mode reconstruction of a light field via a photon-number-resolved measurement

Photon-Statistics Excitation Spectroscopy of a Quantum-Dot Micropillar Laser

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