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HYPERSPIM develops advanced photonic computing systems for ultrafast optimization of complex problems. By leveraging high-dimensional feature spaces and nonlinear optical processes, it aims to significantly enhance the efficiency of combinatorial optimization and machine learning tasks.
Efficient hardware for combinatorial optimization and machine learning impacts science, engineering, and society.
With new computational models, photonics tackle problems intractable with conventional computing systems.
However, existing devices only scale up to thousands of spins and operate at the second timescale. I demonstrate photonic machines for ultrafast parallel processing of millions of spins with microsecond timescale.
The strategy is minimizing a class of functions, the Ising Hamilto…
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
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