Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics

All-optical computing promises fast, energy-efficient processing and has regained momentum as artificial intelligence workloads strain electronic hardware. Among optical approaches, free-space diffractive optics enables rapid, multidimensional information processing with high parallelism, but advancing these systems requires a fundamental understanding of their computational capacity and how to exploit it. Whereas electronic computation relies on cascaded linear and nonlinear operations to implement digital circuits, neural networks, and machine vision, we show that diffractive optical systems can implement complex logic circuits by collapsing serial chains of nonlinear functions into a single optical stage. We first realize all basic logic gates and then demonstrate parallel half-/full adders and subtractors with one-stage readout. We further demonstrate an 8-bit ripple-carry adder by cascading eight one-shot optical full adders. Finally, we show scalability to hundreds of parallel inputs and direct two-dimensional image processing using spatially localized nonlinear optical logic functions. All-optical computing could enable faster, more energy-efficient information processing than electronics. Here, the authors show diffractive optical systems can perform multi-stage nonlinear logic circuits in a single optical stage, enabling basic gates, parallel adders/subtractors, ripple carry adders, and image processing.

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Publication Details

Journal
Nature Communications
Published
2026-06-26
DOI
https://doi.org/10.1038/s41467-026-74970-5
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics

Gaurang R. Bhatt, Elliot J. Fuller, François Léonard
Nature Communications
Neural Networks and Reservoir Computing
article

Parallel execution of nonlinear logic circuits using reconfigurable free-space diffractive optics

Gaurang R. Bhatt, Elliot J. Fuller, François Léonard
article en

Abstract

All-optical computing promises fast, energy-efficient processing and has regained momentum as artificial intelligence workloads strain electronic hardware. Among optical approaches, free-space diffractive optics enables rapid, multidimensional information processing with high parallelism, but advancing these systems requires a fundamental understanding of their computational capacity and how to exploit it. Whereas electronic computation relies on cascaded linear and nonlinear operations to implement digital circuits, neural networks, and machine vision, we show that diffractive optical systems can implement complex logic circuits by collapsing serial chains of nonlinear functions into a single optical stage. We first realize all basic logic gates and then demonstrate parallel half-/full adders and subtractors with one-stage readout. We further demonstrate an 8-bit ripple-carry adder by cascading eight one-shot optical full adders. Finally, we show scalability to hundreds of parallel inputs and direct two-dimensional image processing using spatially localized nonlinear optical logic functions. All-optical computing could enable faster, more energy-efficient information processing than electronics. Here, the authors show diffractive optical systems can perform multi-stage nonlinear logic circuits in a single optical stage, enabling basic gates, parallel adders/subtractors, ripple carry adders, and image processing.

Nature Communications
Sandia National Laboratories California (US)
U.S. Department of Energy, National Nuclear Security Administration, Laboratory Directed Research and Development
Openalex Percentile: Top 4%
Neural Networks and Reservoir Computing
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