Optical system uses diffractive processors to achieve large-scale nonlinear computation
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Diffractive Optical Processors Enable Ultrafast Nonlinear ComputingUCLA researchers demonstrated parallel computation of over one million nonlinear functions using passive optical components at light speed.
Key FactsNov 7, 2025 · Reading time: ~45 sec.
Summary created with AI assistance · Source: techxplore.com
Summary created with AI assistance · Source: techxplore.com
- An optical computing framework was created that uses linear materials to perform extensive nonlinear calculations efficiently.
- Diffractive optical processors execute numerous nonlinear functions simultaneously with extreme spatial density, limited only by light’s diffraction limit.
- Input variables are encoded into the phase of light waves, enabling nonlinear function approximation without relying on nonlinear optical materials.
- Numerical simulations and experimental setups confirmed the capability to compute millions of distinct nonlinear functions in parallel, advancing analog and neuromorphic photonics.
This work shows that nonlinear computation can emerge from purely linear optical interactions when the information is structurally encoded in the phase space of light.— Aydogan Ozcan, Chancellor's Professor of Electrical and Computer Engineering at UCLA and the corresponding author of the study.
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