论文标题
可扩展的旋转玻璃光学模拟器
Scalable spin-glass optical simulator
论文作者
论文摘要
科学和工程领域的许多发展都取决于对大规模的复杂优化解决。挑战激发了对特定计算硬件的强烈搜索，这些硬件从量子功能，非线性动力学或光子学中利用了优势。一个范式优化问题是在具有完全随机相互作用的经典自旋系统中找到低能状态。迄今为止，尚无其他计算平台可以大规模解决此类旋转玻璃问题。在这里，我们提出并实现基于空间光调制和多个光散射的光学可伸缩旋转玻璃模拟器。通过通过无序介质调整光学传输，我们可以光学地加速使用全随机耦合的大型自旋网络的基础状态。与问题大小相比，操作时间的缩放表明了与常规计算相比的光学优势。我们的结果指出，光学矢量矩阵乘法是一种用于旋转玻璃问题的工具，并为大规模计算提供了一般途径，从而利用了速度，并行性和光的连贯性。
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates intense search for specific computing hardware that takes advantage from quantum features, nonlinear dynamics, or photonics. A paradigmatic optimization problem is finding 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 optical advantage over conventional computing. Our results point out optical vector-matrix multiplication as a tool for spin-glass problems and provide a general route towards large-scale computing that exploits speed, parallelism and coherence of light.
