Integrated Photonic Programmable Random Matrix Generator with Minimal Active Components
- URL: http://arxiv.org/abs/2501.08953v1
- Date: Wed, 15 Jan 2025 16:57:24 GMT
- Title: Integrated Photonic Programmable Random Matrix Generator with Minimal Active Components
- Authors: Kevin Zelaya, Mostafa Honari-Latifpour, Mohammad-Ali Miri,
- Abstract summary: We introduce a compact photonic circuit for generating random matrices by utilizing programmable phase modulation layers with a fixed mixing operator.
We show that using only two random phase layers is sufficient for producing output optical signals with a white-noise profile, even for highly sparse input optical signals.
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- Abstract: Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. In manipulating classical light, random operations are utilized for random projections and dimensionality reduction, which are important for analog signal processing, computing, and imaging. In quantum information processing, random unitary operations are essential to boson sampling algorithms for multiphoton states in linear photonic circuits. In photonic circuits, random operations are realized through disordered structures resulting in fixed unitary operations or through large meshes of interferometers and reconfigurable phase shifters, which require a large number of phase shifters. In this article, we introduce a compact photonic circuit for generating random matrices by utilizing programmable phase modulation layers interlaced with a fixed mixing operator. We show that using only two random phase layers is sufficient for producing output optical signals with a white-noise profile, even for highly sparse input optical signals. We experimentally demonstrate these results using a silicon photonics circuit with tunable thermal phase shifters and utilize waveguide lattices as mixing layers. The proposed circuit offers a practical method for generating random matrices for photonic information processing and for applications in data encryption.
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