Analytic solution to degenerate biphoton states generated in arrays of nonlinear waveguides

• URL: http://arxiv.org/abs/2411.18740v1
• Date: Wed, 27 Nov 2024 20:31:54 GMT
• Title: Analytic solution to degenerate biphoton states generated in arrays of nonlinear waveguides
• Authors: Jefferson Delgado-Quesada, David Barral, Kamel Bencheikh, Edgar A. Rojas-González,
• Abstract summary: We employ a supermodes approach to obtain an analytic solution for the evolution of degenerate biphoton states under the undepleted pump approximation. Analytic results offer valuable physical insights into the propagation of light in arrays of nonlinear waveguides.
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• Abstract: Waveguide arrays are a powerful platform for studying and manipulating quantum states of light. When nonlinearity arises due to a spontaneous parametric down-conversion process, the degree of entanglement can increase, contrary to a linear array, enabling the generation of nonclassical biphoton states -- which are a valuable resource for various quantum technologies. In this work, we employed a supermodes approach to obtain an analytic solution for the evolution of degenerate biphoton states under the undepleted pump approximation. We examined the general features of our solution, including results for small arrays, propagation when only one waveguide is pumped, and the inversion problem of a target output state. Analytic results offer valuable physical insights into the propagation of light in arrays of nonlinear waveguides, and enable the determination of the initial conditions required to achieve a desired quantum state -- for example, the injection pump profile. In general, such calculations can be computationally demanding for large arrays. However, the numerical implementation of the proposed method scales efficiently -- both for the direct, and inverse problems. In future work, our approach could be extended to non-degenerate biphoton states. Also, it could be applied in the study of diffusion regimes, the introduction of disorder, and the development of reliable optimization methods for inverting arbitrary output states.

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