MQED-QD Documentation¶

MQED-QD is a Python toolkit for simulating exciton-polariton transport near plasmonic interfaces using macroscopic quantum electrodynamics.

Latest Update¶

Version 1.2.1 improves the N-layer Green’s-function workflow for sparse emitter-separation grids and spectral-density validation. Green’s-function CLIs can now preserve flexible Rx grids such as [0, d, 2d, ...] in HDF5, the N-layer solver has an opt-in fixed-grid path that reuses Bessel-free Sommerfeld kernels across many Rx values, and the DDI builder accepts sparse separation grids with tolerant physical-value lookup. Spectral-density plots can select curves by physical Rx_nm values, display J(ω) in either eV or SI s^-1, and apply scientific y-axis formatting for large SI rates.

Key Features¶

Dyadic Green’s functions via Sommerfeld integrals and N-layer planar stacks
Resonance energy transfer (RET) and field enhancement (FE) analysis
Open-system dynamics: Lindblad master equation & NHSE
Boundary Element Method (BEM) for arbitrary geometries
Hydra-based configuration with Joblib, MPI, and SGE workflow support

Getting Started

Tutorials

Tutorials

Theory

Theory
- Macroscopic QED Framework
- Two-Layer Planar Geometry

Reference