• Aihara, Kazuyuki
• Igarashi, Koji
• Haribara, Yoshitaka
• Inagaki, Takahiro
• Marandi, Alireza
• Honjo, Toshimori
• Tamate, Shuhei
• Sonobe, Tomohiro
• Enbutsu, Koji
• Umeki, Takeshi
• Mcmahon, Peter L.
• Takesue, Hiroki
• Inoue, Kyo
• Utsunomiya, Shoko
• Kawarabayashi, Ken-Ichi
• Tadanaga, Osamu
• Takenouchi, Hirokazu

Abstract

<jats:title>Taking the pulse of optimization</jats:title><jats:p>Finding the optimum solution of multiparameter or multifunctional problems is important across many disciplines, but it can be computationally intensive. Many such problems defined as computationally difficult can be mathematically mapped onto the so-called Ising problem, which looks at finding the minimum energy configuration for an array of coupled spins. Inagaki<jats:italic>et al.</jats:italic>and McMahon<jats:italic>et al.</jats:italic>show that an optical processing approach based on a network of coupled optical pulses in a ring fiber can be used to model and optimize large-scale Ising systems. Such a scalable architecture could help to optimize solutions to a wide range of complex problems.</jats:p><jats:p><jats:italic>Science</jats:italic>, this issue pp.<jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6312" page="603" related-article-type="in-this-issue" vol="354" xlink:href="10.1126/science.aah4243">603</jats:related-article>and<jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6312" page="614" related-article-type="in-this-issue" vol="354" xlink:href="10.1126/science.aah5178">614</jats:related-article></jats:p>

Topics

• impedance spectroscopy