SOURCE-LINKED INTELLIGENCE

Optoelectronic and all-optical hyperspin machines for large-scale computing

CORDIS · observation · Publication date unknown

Optoelectronic and all-optical hyperspin machines for large-scale computing 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 Hamiltonian, by a new computational system that uses a high-dimensional feature space and speeds up optimization by orders of magnitude by ultrafast nonlinear optical processes. I build digital, optoelectronics, and all-optical classical and quantum devices and benchmark with real-world, large-scale problems. By spatial modulation technology and a cheap, simple, and scalable design, light propagation is recurrently trained towards the ground state of a pro

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

2490000

unit

EUR