MQED-QD Documentation

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

Latest Update

Version 1.4.3 adds a compact ring_circulant Mie layout for symmetry-compatible spherical emitter rings. It stores one dipole-projected cyclic Green-function row and supports emission spectra, spectral densities, pair-style plotting, projected DDI construction, and stationary Lindblad dynamics with periodic coupling filters.

N-layer MPI jobs can now distribute horizontal-distance chunks across ranks when a single- or few-frequency sweep would otherwise leave most ranks idle. Whole-energy batching remains in place for fixed_grid integration so its sampled Sommerfeld kernels are still reused across the complete Rx grid. Annotated sphere-ring and single-frequency DBP/DBR examples document both workflows.

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.