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Single-photon nonlinear optics with graphene plasmons (1309.2651v3)

Published 10 Sep 2013 in cond-mat.mes-hall, physics.optics, and quant-ph

Abstract: We show that it is possible to realize significant nonlinear optical interactions at the few photon level in graphene nanostructures. Our approach takes advantage of the electric field enhancement associated with the strong confinement of graphene plasmons and the large intrinsic nonlinearity of graphene. Such a system could provide a powerful platform for quantum nonlinear optical control of light. As an example, we consider an integrated optical device that exploits this large nonlinearity to realize a single photon switch.

Citations (167)

Summary

Single-Photon Nonlinear Optics with Graphene Plasmons

The paper "Single-Photon Nonlinear Optics with Graphene Plasmons" presents a significant advancement in the domain of nonlinear optics by leveraging the unique properties of graphene plasmons. The authors introduce a framework for achieving substantial nonlinear optical interactions at the few-photon level within graphene nanostructures, which holds potential implications for both classical and quantum nonlinear optical applications.

Summary of Research

The authors focus on the capacity of graphene plasmons to enhance electric fields through strong confinement, and they exploit graphene’s intrinsic nonlinearity to achieve deterministic interactions between two plasmons. Such interactions theoretically enable quantum nonlinear optical control, portraying graphene as a powerful platform for implementing quantum networks.

The theoretical analysis hinges on the tight confinement achievable by graphene surface plasmons (SPs), which can be confined to volumes as minuscule as one ten-millionth of the size in free space. This confinement correlates with enhanced field intensities even at the single SP level, rendering nonlinear effects observable.

A central aspect of the paper involves the derivation and quantification of nonlinear conductivity, using the semiclassical Maxwell-Boltzmann equations. The authors provide compelling arguments for the feasibility of realizing significant nonlinear interactions by introducing a dispersive nonlinearity parameter, enabling the development of a single photon switch.

Strong Numerical Results

The authors provide numerical simulations indicating the feasibility of achieving cavity quality factors on the order of 1000, with potential nonlinear interaction strengths sufficient for quantum nonlinear operations. Specifically, estimates suggest that this framework could enable single-photon blockade and non-classical light generation phenomena via a tailored graphene plasmon cavity, as demonstrated in Figure 1 and 2 of the paper.

Implications and Speculations

From a practical standpoint, implementing this high-field enhancement and nonlinearity in graphene could pave the way for compact, efficient quantum information processing systems. The scalability of graphene fabrication enhances the potential for creating complex quantum networks tailored for various applications.

On a theoretical level, these findings suggest the potential to further explore hybrid structures that integrate graphene with other nonlinear substrates, possibly enhancing interaction strengths or expanding the operational frequency range. The paper also hints at leveraging this system for applications in quantum simulation, suggesting a fertile ground for future investigations to improve plasmon lifetime and explore novel quantum phenomena further.

Conclusion

In conclusion, this paper presents a sophisticated approach to harnessing the nonlinearities inherent in graphene plasmonics for advanced optical applications. It underscores the potential for graphene to transform nonlinear optics by achieving interactions at the single-photon scale, thereby offering a promising path towards more intricate and high-performance optical devices tailored both for classical and quantum systems. As the field advances, collaborations between experimentalists and theorists will be vital to confirm these predictions and realize these techniques in practical systems.