Litcius/Paper detail

100,000-spin coherent Ising machine

Toshimori Honjo, Tomohiro Sonobe, Kensuke Inaba, Takahiro Inagaki, Takuya Ikuta, Yasuhiro Yamada, Takushi Kazama, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Ken‐ichi Kawarabayashi, Hiroki Takesue

2021Science Advances330 citationsDOIOpen Access PDF

Abstract

Computers based on physical systems are increasingly anticipated to overcome the impending limitations on digital computer performance. One such computer is a coherent Ising machine (CIM) for solving combinatorial optimization problems. Here, we report a CIM with 100,512 degenerate optical parametric oscillator pulses working as the Ising spins. We show that the CIM delivers fine solutions to maximum cut problems of 100,000-node graphs drastically faster than standard simulated annealing. Moreover, the CIM, when operated near the phase transition point, provides some extremely good solutions and a very broad distribution. This characteristic will be useful for applications that require fast random sampling such as machine learning.

Topics & Concepts

Ising modelComputer scienceSpinsDegenerate energy levelsOptical parametric oscillatorSimulated annealingIsing spinStatistical physicsParametric statisticsNode (physics)AlgorithmPhysicsQuantum mechanicsCondensed matter physicsMathematicsStatisticsLaserQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir ComputingQuantum Information and Cryptography