Phase-multiplexed optical computing: Reconfiguring a multi-task diffractive optical processor using illumination phase diversity
- URL: http://arxiv.org/abs/2512.06658v1
- Date: Sun, 07 Dec 2025 05:07:57 GMT
- Title: Phase-multiplexed optical computing: Reconfiguring a multi-task diffractive optical processor using illumination phase diversity
- Authors: Xiao Wang, Aydogan Ozcan,
- Abstract summary: A common diffractive optical network, optimized with T phase keys, demultiplexes encoded inputs and accurately executes any of the T distinct linear transformations at its output.<n>Phase-multiplexing architecture significantly lowers the transformation errors, potentially enabling larger-scale optical transformations to be implemented through a monochrome processor.
- Score: 4.82972978331848
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We report a monochrome multi-task diffractive network architecture that leverages illumination phase multiplexing to dynamically reconfigure its output function and accurately implement a large group of complex-valued linear transformations between an input and output aperture. Each member of the desired group of T unique transformations is encoded and addressed with a distinct 2D illumination phase profile, termed "phase key", which illuminates the input aperture, activating the corresponding transformation at the output field-of-view. A common diffractive optical network, optimized with T phase keys, demultiplexes these encoded inputs and accurately executes any of the T distinct linear transformations at its output. We demonstrate that a diffractive network composed of N = 2 x T x Ni x No optimized diffractive features can realize T distinct complex-valued linear transformations, accurately executed for any complex field at the input aperture, where Ni and No refer to the input/output pixels, respectively. In our proof-of-concept numerical analysis, T = 512 complex-valued transformations are implemented by the same monochrome diffractive network with negligible error using illumination phase diversity. Compared with wavelength-multiplexed diffractive systems, phase-multiplexing architecture significantly lowers the transformation errors, potentially enabling larger-scale optical transformations to be implemented through a monochrome processor. Phase-multiplexed multi-task diffractive networks would enhance the capabilities of optical computing and machine-vision systems.
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