Modeling the Quantum Photon Statistics in Hybrid Light-Matter Integrated Circuits
- URL: http://arxiv.org/abs/2605.23286v1
- Date: Fri, 22 May 2026 06:58:35 GMT
- Title: Modeling the Quantum Photon Statistics in Hybrid Light-Matter Integrated Circuits
- Abstract summary: We present a framework for predicting and benchmarking quantum photon statistics in polaritonic integrated circuits.<n>We identify experimentally accessible quantum signatures across two circuit configurations.<n>Slow-light engineering of the polariton dispersion offers a practical route to amplifying the effective nonlinearity.
- Score: 0.13681174239726607
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Strong light-matter coupling between a guided electromagnetic mode and an excitonic semiconductor transition gives rise to exciton-polaritons with optical nonlinearities far exceeding those of conventional photonic platforms. Utilizing these nonlinearities in the few-particle regime, where quantum signatures such as photon antibunching, sub-Poissonian statistics and non-trivial inter-mode correlations become accessible, is a central goal of integrated quantum photonics. Yet, a quantitative theoretical framework connecting realistic waveguide parameters to measurable non-classical photonic output is absent. Here, we present a comprehensive framework for predicting and benchmarking quantum photon statistics in polaritonic integrated circuits, using state-of-the-art experimentally achieved device parameters for (Al)GaAs waveguide platforms. By mapping the pulsed nonlinear waveguide dynamics onto a bosonic quantum circuit representation that explicitly incorporates dissipation, we identify experimentally accessible quantum signatures across two circuit configurations: a single waveguide in a free-space interferometric configuration and a fully integrated multimode coupled-waveguide circuit. We further show that slow-light engineering of the polariton dispersion offers a practical route to amplifying the effective nonlinearity, pushing quantum signatures beyond Gaussian statistics.
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