计算机科学
可扩展性
旋转玻璃
光子学
计算
连贯性(哲学赌博策略)
矩阵乘法
非常规计算
缩放比例
量子计算机
计算科学
量子
分布式计算
物理
光学
算法
量子力学
数学
数据库
几何学
作者
Davide Pierangeli,Mushegh Rafayelyan,Claudio Conti,Sylvain Gigan
出处
期刊:Physical review applied
[American Physical Society]
日期:2021-03-30
卷期号:15 (3)
被引量:18
标识
DOI:10.1103/physrevapplied.15.034087
摘要
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates an intense search for specific computing hardware that takes advantage of quantum features, nonlinear dynamics, or photonics. A paradigmatic optimization problem is to find low-energy states in classical spin systems with fully random interactions. To date, no alternative computing platform can address such spin-glass problems on a large scale. Here, we propose and realize an optical scalable spin-glass simulator based on spatial light modulation and multiple light scattering. By tailoring optical transmission through a disordered medium, we optically accelerate the computation of the ground state of large spin networks with all-to-all random couplings. Scaling of the operation time with the problem size demonstrates an optical advantage over conventional computing. Our results highlight optical vector-matrix multiplication as a tool for spin-glass problems and provide a general route toward large-scale computing that exploits speed, parallelism, and coherence of light.
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