Researchers led by Volker Sorger, an associate professor of electrical and computer engineering at the George Washington University, are exploring the development of a nanophotonic analog processor capable of solving partial differential equations. The processor can be integrated at chip-scale, processing arbitrary inputs at the speed of light.
Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on electron flows and digital approaches, the researchers say.
The team also includes researchers at the University of California, Los Angeles, and City College of New York.
They describe their work in "Approximate Analog Computing with Metatronic Circuits," published in the journal Nature Communications Physics.
From George Washington University
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