Chongfan Technology
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13
2026
-
07
Universal Convolution in Wave Dynamics: Photon Processing and Encryption in Composite Dimensions
Author:
The teams of Bing Wang, Peixiang Lu, and Weiwei Liu at Huazhong University of Science and Technology have demonstrated that wave dynamics in translationally symmetric lattices can be fundamentally expressed as convolutions, with the dispersion relation uniquely specifying a complex-valued kernel. Leveraging this universal principle, the authors engineered an ultra‑low‑complexity convolutional architecture by evolving waves in a programmable photonic synthetic lattice, achieving high throughput and multifunctionality—up to 13.5 trillion operations per second (TOPS)—in image processing. Beyond convolutional acceleration, the kernel’s complex nature also enables the simulation of irreversible diffusion and reversible unitary quantum dynamics under classical incoherent excitation. By exploiting physics‑based reversibility and undetectable phase information, the authors further demonstrate a convolution‑driven optical encryption strategy. By grounding convolution in wave dynamics, this work establishes a unified framework for photonic computing and paves the way for scalable, multifunctional photonic processors with high integration potential.
The research findings were published in Nature Communications on June 29, 2026, under the title “Universal convolution from wave dynamics: photonic processing and encryption in synthetic dimension.”
Figure 1: Convolutional conceptual diagram of wave dynamics in a lattice.
Figure 2: Experimental implementation of convolution in the frequency domain of synthesized signals.
Figure 3: One-dimensional (1D) convolution in the frequency domain of the synthesized signal
Figure 4: Two-dimensional convolution in the synthetic frequency domain for image processing
Figure 5: Convolution-driven simulation of photonic physical diffusion processes
Figure 6: Convolution-Driven Optical Encryption
Source: Optics World
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