Olivieri Luana, Cooper Andrew R, Peters Luke, Cecconi Vittorio, Pasquazi Alessia, Peccianti Marco, Totero Gongora Juan S
Emergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.
ACS Photonics. 2025 Apr 14;12(6):2896-2901. doi: 10.1021/acsphotonics.4c02496. eCollection 2025 Jun 18.
Photonic Ising machines are leading key advancements in solving large combinatorial problems, leveraging large-scale platforms with parallel computing capabilities. A well-known bottleneck of complex problems is the appearance of multiple minima in the energetic landscape that attract Metropolis-based iterations in suboptimal solutions, thus hindering the performance of standard optical solvers in large systems. By introducing a double single-pixel detection scheme based on intensity and field averages in an optical-based Ising machine, we effectively implement local and nonlocal nonlinear Hamiltonians, representing a complex and simple state, respectively. Transitioning from nonlocal to local nonlinear detection enables to adiabatically morph the energetic landscape, enhancing the success rate of finding the optimal solution compared to standard isothermal approaches.
光子伊辛机在利用具有并行计算能力的大规模平台解决大型组合问题方面正引领着关键进展。复杂问题的一个众所周知的瓶颈是能量景观中出现多个最小值，这会吸引基于 metropolis 的迭代进入次优解，从而阻碍标准光学求解器在大型系统中的性能。通过在基于光学的伊辛机中引入基于强度和场平均值的双单像素检测方案，我们有效地实现了分别代表复杂和简单状态的局部和非局部非线性哈密顿量。从非局部到局部非线性检测的转变能够绝热地改变能量景观，与标准等温方法相比，提高了找到最优解的成功率。
