Chinese scientists ran an AI program on a virtual light-based computer system inside its real 'digital twin'…
- Optical computing uses light instead of electricity to process complex data.
- Digital twin eliminates long waits for shared optical hardware.
- Virtual optical systems mirrored real hardware with remarkable accuracy.
Optical computing has emerged as a promising alternative to traditional electronic systems struggling with increasingly large-scale AI and deep learning workloads.
By harnessing the physical properties of light, including interference and diffraction, optical computing systems offer faster speeds, better energy efficiency, and stronger parallel processing capabilities.
Chinese researchers have now proposed a digital twin model that fundamentally changes how these complex systems are developed and tested.
Why physical hardware became a bottleneck for researchers
Traditional optical computing systems face a persistent challenge, since task development relies heavily on direct access to physical hardware platforms.
When multiple researchers need to work with the same system, they typically wait in line, then repeatedly tune parameters and perform error calibration before any genuine computation...
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