A single shot coherent Ising machine based on a network of injection-locked multicore fiber lasers

Masoud Babaeian (), Dan T. Nguyen, Veysi Demir, Mehmetcan Akbulut, Pierre-A Blanche, Yushi Kaneda, Saikat Guha, Mark A. Neifeld and N. Peyghambarian
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Masoud Babaeian: University of Arizona
Dan T. Nguyen: University of Arizona
Veysi Demir: ASML Corp
Mehmetcan Akbulut: University of Arizona
Pierre-A Blanche: University of Arizona
Yushi Kaneda: University of Arizona
Saikat Guha: University of Arizona
Mark A. Neifeld: University of Arizona
N. Peyghambarian: University of Arizona

Nature Communications, 2019, vol. 10, issue 1, 1-11

Abstract: Abstract Combinatorial optimization problems over large and complex systems have many applications in social networks, image processing, artificial intelligence, computational biology and a variety of other areas. Finding the optimized solution for such problems in general are usually in non-deterministic polynomial time (NP)-hard complexity class. Some NP-hard problems can be easily mapped to minimizing an Ising energy function. Here, we present an analog all-optical implementation of a coherent Ising machine (CIM) based on a network of injection-locked multicore fiber (MCF) lasers. The Zeeman terms and the mutual couplings appearing in the Ising Hamiltonians are implemented using spatial light modulators (SLMs). As a proof-of-principle, we demonstrate the use of optics to solve several Ising Hamiltonians for up to thirteen nodes. Overall, the average accuracy of the CIM to find the ground state energy was ~90% for 120 trials. The fundamental bottlenecks for the scalability and programmability of the presented CIM are discussed as well.

Date: 2019
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DOI: 10.1038/s41467-019-11548-4

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