Modeling Quantum Noise in Nanolasers using Markov Chains
Matias Bundgaard-Nielsen, Gian Luca Lippi, Jesper M{\o}rk

TL;DR
This paper develops a rigorous Markov chain model for quantum noise in nanolasers, improving accuracy over traditional Langevin approaches especially below threshold.
Contribution
It derives the laser quantum noise model from an open quantum system master equation and compares it with existing methods across various laser sizes and excitation levels.
Findings
The Markov chain model is accurate for all pump values and laser sizes.
Langevin equations can produce unphysical negative populations below threshold.
The approach is validated against different system sizes and excitation levels.
Abstract
The random nature of spontaneous emission leads to unavoidable fluctuations in a laser's output. This is often included through random Langevin forces in laser rate equations, but this approach falls short for nanolasers. In this paper, we show that the laser quantum noise can be quantitatively computed for a very broad class of lasers by starting from simple and intuitive rate equations and merely assuming that the number of photons and excited electrons only takes discrete values. While the approach has seen previous success, we here derive it rigorously from an open quantum system master equation, whereas it was previously introduced only on phenomenological grounds. We further show that in the many-photon limit, the model simplifies to Langevin equations. We perform an extensive comparison of different approaches for computing quantum noise in lasers, identifying the best approach…
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