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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Optimization of iterative wavefront shaping algorithms for quantum light.

Kiran Bajar, Rounak Chatterjee, Vikas S Bhat

|January 15, 2026

Summary

This summary is machine-generated.

This study evaluates optimization algorithms for wavefront correction in low-photon quantum optics. A new augmented algorithm shows promise for enhanced performance in quantum applications.

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Last Updated: Jan 17, 2026

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Area of Science:

Quantum optics
Optical engineering
Computational imaging

Background:

Feedback-based optimization is vital for wavefront manipulation in classical optics.
Quantum optics advancements necessitate wavefront correction for quantum imaging and communication.
Understanding algorithm performance at low photon counts is critical for quantum system deployment.

Purpose of the Study:

To investigate the performance of two optimization algorithms under low-photon conditions.
To compare algorithm efficacy across varying mean photon rates.
To develop and validate a novel augmented algorithm for quantum optical applications.

Main Methods:

Experimental investigation of algorithm performance in the photon-counting regime.
Numerical simulations to analyze behavior across different photon rates.
Proposal, simulation, and implementation of a novel augmented optimization algorithm.

Main Results:

Performance analysis of two distinct wavefront optimization algorithms.
Identification of algorithm behavior under low-photon flux.
Successful development and simulation of an augmented algorithm.

Conclusions:

The study provides crucial insights into wavefront correction in low-photon regimes.
The novel augmented algorithm offers improved suitability for quantum optical applications.
This work facilitates the advancement of quantum optical technologies.