MQED-QD Documentation

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

Latest Update

Version 1.4.5 adds the Rakić (1998) Lorentz–Drude dielectric model and published five-oscillator fits for silver and gold. Select the Ag model in the Sommerfeld configuration or use the Au example configuration; existing Drude and Drude–Lorentz calculations remain unchanged. See the Sommerfeld tutorial for the model equation, units, and Hydra commands.

This release also improves N-layer pole searching and adds regression coverage for both the metal fits and corrected pole-search behavior.

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

• Installation
• Getting Started

Tutorials

• Tutorials
  • Green-function solver quick choice

Theory

• Theory
  • Macroscopic QED Framework
  • Two-Layer Planar Geometry
  • N-Layer Planar Geometry
  • Mie Theory for Spherical Cavities

Reference

• Configuration Reference
• API Reference

See also

GitHub Repository

Project overview, installation quick-start, latest updates, and citation info.