Second-order coherence properties of metallic nanolasers

Hayenga, William E.; Garcia-Gracia, Hipolito; Hodaei, Hossein; Reimer, Christian; Morandotti, Roberto; LiKamWa, Patrick; Khajavikhan, Mercedeh

doi:10.1364/optica.3.001187

Cited by 50 publications

(38 citation statements)

References 34 publications

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“…Since, in addition, the aim is to move toward continuously pumped devices and—as reviewed in ref. [], recent work has shown considerable progress in that direction—this scheme does not offer a general‐purpose solution for threshold identification. The strong push for a correct identification of threshold in very small devices, in support of the claim of laser emission, justifies the recent directed efforts…”

Section: Introductionmentioning

confidence: 99%

Onset of Lasing in Small Devices: The Identification of the First Threshold through Autocorrelation Resonance

2018

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A simple technique for identifying the onset of coherent emission in mesoscale lasers, which makes use of a small-amplitude modulation added to the pump, is introduced. The optimal modulation frequency is obtained from the radio-frequency power spectrum of the unperturbed laser emission. The identification of the lasing onset rests on the appearance of a resonance in the experimentally measured zero-order autocorrelation function (g (2) (0)) plotted as a function of the pump rate. Numerical proof is provided in support of the autocorrelation resonance. The intrinsic simplicity of this technique and its inherent compatibility with photon counting makes it an excellent tool for certifying the onset of laser emission independent of the laser cavity volume. Recently published measurements of g (2) (0), obtained in nanolasers, support the extension of this technique to nanoscale devices.

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Section: Introductionmentioning

confidence: 99%

Onset of Lasing in Small Devices: The Identification of the First Threshold through Autocorrelation Resonance

2018

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“…Quite recently, we reported [25] an experimental realization of spin Hamiltonians in arrays of active metallic nanocavities [26][27][28][29][30]. In this Letter, we discuss the details of the theoretical model that is responsible for such spin-like behavior in these arrangements.…”

Section: Introductionmentioning

confidence: 89%

Nanolaser-based emulators of spin Hamiltonians

et al. 2020

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Finding the solution to a large category of optimization problems, known as the NP-hard class, requires an exponentially increasing solution time using conventional computers. Lately, there has been intense efforts to develop alternative computational methods capable of addressing such tasks. In this regard, spin Hamiltonians, which originally arose in describing exchange interactions in magnetic materials, have recently been pursued as a powerful computational tool. Along these lines, it has been shown that solving NP-hard problems can be effectively mapped into finding the ground state of certain types of classical spin models. Here, we show that arrays of metallic nanolasers provide an ultra-compact, on-chip platform capable of implementing spin models, including the classical Ising and XY Hamiltonians. Various regimes of behavior including ferromagnetic, antiferromagnetic, as well as geometric frustration are observed in these structures. Our work paves the way towards nanoscale spin-emulators that enable efficient modeling of large-scale complex networks.

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“…Our approach thus does not need coherent feedback as in the case of self-mixing interferometry which is beneficial when applying it to nanolasers. Hayenga et al for example report on metallic nanolasers with a minimum linewidth of ∼0.7 nm at an emission wavelength of 1300 nm resulting in a coherence length 0.8 mm [23]. Thus, being able to work in the regime of incoherent feedback is convenient at cryogenic temperatures where a feedback mirror would be technologically challenging to implement.…”

Section: Experimental Methods and Determination Of α In Microlasersmentioning

confidence: 99%

“…Other feedback methods based on, e.g. self-mixing interferometry [22], rely on coherent feedback effects which can lead to very short cavities in nanolasers [23]. The method is presented in Sec.…”

Section: Introductionmentioning

confidence: 99%

Determining the linewidth enhancement factor via optical feedback in quantum dot micropillar lasers

et al. 2018

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The linewidth enhancement factor α is a key parameter determining the spectral and dynamical behavior of semiconductor lasers. Here, we propose and demonstrate a method for determining this parameter based on a direct measurement of variations in the laser gain and emission spectrum when subject to delayed optical feedback. We then use our approach to determine the pump current dependent linewidth enhancement factor of a high-β quantum dot micropillar laser. The validity of our approach is confirmed comparing it to two conventional methods, one based on the comparison of the linewidths above and below threshold and the other based on injection locking properties. Furthermore, the pump power dependence of α is quantitatively described by simulations based on a quantum-optical model.

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Second-order coherence properties of metallic nanolasers

Cited by 50 publications

References 34 publications

Onset of Lasing in Small Devices: The Identification of the First Threshold through Autocorrelation Resonance

Onset of Lasing in Small Devices: The Identification of the First Threshold through Autocorrelation Resonance

Nanolaser-based emulators of spin Hamiltonians

Determining the linewidth enhancement factor via optical feedback in quantum dot micropillar lasers

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