Separating partially coherent light
Paul-Alexis Mor, Anne R. Kroo, Carson G. Valdez, Marko \v{S}imi\'c, Aviv Karnieli, Gabriele Cavicchioli, Zhanghao Sun, Vittorio Grimaldi, Shanhui Fan, Olav Solgaard, David A. B. Miller, and Charles Roques-Carmes

TL;DR
This paper introduces a scalable, integrated photonic method for automatically separating and measuring the coherence modes of partially coherent light, enabling advanced control in optical imaging and communication.
Contribution
The authors develop a silicon photonic interferometer architecture that finds and measures coherence modes of partially coherent light through in situ optimization, scalable with the coherence matrix rank.
Findings
Successfully separated two coherence modes from overlapping laser fields.
Demonstrated linear scalability of the method with the coherency matrix rank.
Benchmarking shows superior performance over traditional tomographic methods.
Abstract
Recent advances in optical imaging and communication increasingly involve high-dimensional, partially coherent light, creating a growing need for scalable tools to measure and manipulate coherence. Here, we demonstrate the automatic separation of spatially partially coherent light into "coherence modes" -- its orthogonal and mutually incoherent components. To make this separation possible, we exploit variational processing in layered self-configuring interferometer architectures in a silicon photonic circuit. This process formally finds and measures the eigenvectors and eigenvalues of the coherency matrix, hence measuring the partially coherent state, while leaving it intact and separated after optimization. Furthermore, we show that mutually incoherent beams, if spatially orthogonal, can be automatically separated even if they are completely overlapped, hence separating unknown laser…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Photonic and Optical Devices · Random lasers and scattering media
