Deep learning-designed diffractive processor computes hundreds of transformations in parallel
Published Date: 1/9/2023
Source: phys.org
In today's digital age, computational tasks have become increasingly complex. This, in turn, has led to an exponential growth in the power consumed by digital computers. Thus, it is necessary to develop hardware resources that can perform large-scale computing in a fast and energy-efficient way.