aesop

AESOP (Autonomous Exploration of Systems for Optics and Photonics) is an inverse-design framework for photonic systems and circuits.

Features

• differentiable photonic circuit solver, with a library of standard, commercially available fiber components
• circuit analysis techniques, including noise simulation and gradient-based sensitivity analysis
• design of both system topology and parameters, using topology search methods and gradient-based parameter optimization

Installation

See the paper in Laser & Photonics Reviews here!

To install AESOP, clone the repository and install dependencies via pip install -r requirements.txt file.

Example

from lib.graph import Graph
from simulator import *

propagator = Propagator(window_t=10/12e9, n_samples=2**14, central_wl=1.55e-6)
evaluator = RadioFrequencyWaveformGeneration(propagator, target_harmonic=12e9, target_waveform='saw')

nodes = {'source': TerminalSource(),
         0: VariablePowerSplitter(),
         1: VariablePowerSplitter(),
         2: VariablePowerSplitter(),
         3: VariablePowerSplitter(),
         'sink': TerminalSink()}

edges = {('source', 0): ContinuousWaveLaser(),
         (0, 1): PhaseModulator(),
         (1, 2): WaveShaper(),
         (2, 3): OpticalAmplifier(),
         (3, 'sink'): Photodiode(),
         }

graph = Graph.init_graph(nodes, edges)
graph.update_graph()
graph.initialize_func_grad_hess(propagator, evaluator, exclude_locked=True)

Citing

@article{MacLellan2024,
  title = {Inverse Design of Photonic Systems},
  volume = {18},
  ISSN = {1863-8899},
  url = {http://dx.doi.org/10.1002/lpor.202300500},
  DOI = {10.1002/lpor.202300500},
  number = {5},
  journal = {Laser & Photonics Reviews},
  publisher = {Wiley},
  author = {MacLellan,  Benjamin and Roztocki,  Piotr and Belleville,  Julie and Romero Cortés,  Luis and Ruscitti,  Kaleb and Fischer,  Bennet and Azaña,  José and Morandotti,  Roberto},
  year = {2024},
  month = feb 
}