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Updated: May 21, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

Bridging quantum noise and classical electrodynamics with stochastic methods.

Felix Hitzelhammer1, Johannes Stowasser2, Lukas Hanschke2,3

  • 1Institute of Physics, NAWI Graz, University of Graz, Graz, Austria. felix.hitzelhammer@uni-graz.at.

Nature Communications
|May 19, 2026
PubMed
Summary
This summary is machine-generated.

We developed a new computational framework using coupled stochastic processes to accurately model quantum optics phenomena. This method captures quantum effects in complex photonic systems, validated by experimental data.

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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Area of Science:

  • Quantum optics
  • Computational physics
  • Nanophotonics

Background:

  • Accurate modeling of quantum optics is crucial for emerging technologies.
  • Existing semiclassical and full quantum treatments have limitations in computational cost and accuracy for quantized fields.
  • Bridging classical electromagnetics and quantum phenomena requires advanced simulation techniques.

Purpose of the Study:

  • To develop a novel computational framework for simulating quantum optical systems.
  • To address the limitations of current semiclassical and full quantum approaches.
  • To create a method compatible with classical electromagnetics while capturing quantum effects.

Main Methods:

  • Developed a framework based on coupled stochastic processes with a common cross-covariance structure.
  • Coupled the framework with various Maxwell solvers.
  • Accounted for non-commutativity in the quantum-to-classical transition.

Main Results:

  • The framework successfully captures quantum optical signatures.
  • Demonstrated compatibility with classical electromagnetics.
  • Achieved excellent agreement between simulation results and experimental emission spectra of a quantum dot.

Conclusions:

  • Tailored stochastic processes offer a powerful tool for simulating non-classical light.
  • The developed framework is suitable for complex photonic environments.
  • This approach provides a viable solution for modeling quantum optics phenomena.