Energy transfer between localized emitters in photonic cavities from first principles

• URL: http://arxiv.org/abs/2505.15752v1
• Date: Wed, 21 May 2025 16:57:55 GMT
• Title: Energy transfer between localized emitters in photonic cavities from first principles
• Authors: Swarnabha Chattaraj, Giulia Galli,
• Abstract summary: We present a first principles approach to enable predictions of the energy transfer between defects in photonic cavities.<n>Our approach paves the way to predict how to control energy transfer in quantum memories and in ultra-high density optical memories.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Radiative and nonradiative resonant couplings between defects are ubiquitous phenomena in photonic devices used in classical and quantum information technology applications. In this work we present a first principles approach to enable quantitative predictions of the energy transfer between defects in photonic cavities, beyond the dipole-dipole approximation and including the many-body nature of the electronic states. As an example, we discuss the energy transfer from a dipole like emitter to an F center in MgO in a spherical cavity. We show that the cavity can be used to controllably enhance or suppress specific spin flip and spin conserving transitions. Specifically, we predict that a ~10 to 100 enhancement in the non-radiative resonant energy transfer rate can be gained in the case of the F center in MgO by a rather moderate cavity with Q~400, and equal suppression in the rate can be achieved by incorporating a significant energy mismatch between the electronic excitation and the cavity mode. Our framework is general and readily applicable to a wide range of devices where localized emitters are embedded in micro-spheres, core-shell nanoparticles, and dielectric Mie resonators. Hence, our approach paves the way to predict how to control energy transfer in quantum memories and in ultra-high density optical memories, and in a variety of quantum information platforms.

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