As always, igor’sLAB has published a thoughtful and clear-eyed look at photonic processors. This piece highlights both the significant efficiency gains already demonstrated and the practical challenges that must be solved for widespread adoption. Yes, photonic computing works. Yes, it delivers efficiency and speed beyond silicon. The road to wide adoption is still unfolding, but the direction is clear: we are moving towards a brighter, future of computation. That’s why Q.ANT has made its Native Processing Unit available today to advanced research centers and early adopters. Together, they are testing, validating, and integrating analog photonic processing into next-generation HPC environments. Read the full article here: https://bit.ly/3HNVbch
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Student bei TH Aschaffenburg University of Applied Sciences
1wI have a question just out of curiosity regarding this process: The core concept, as I've understood from the articles read about this topic, is to modify the properties of light so that it can be used to calculate complex mathematical functions. So my question is whether it's possible to directly imprint complex algorithmic encodings, like the fixed and rarely changing embeddings of transformer models for example, into such a system that natively modifies light and produces the desired transformation?