Physical Ising machines rely on nature to guide a dynamical system towards an optimal state which can be read out as a heuristical solution to a combinatorial optimization problem. Such designs that use nature as a computing mechanism can lead to higher performance and/or lower operation costs and hence have attracted research and prototyping efforts from industry and academia. Quantum annealers are a prominent example of such efforts. However, some physics-centric Ising machines require stringent operating conditions that result in significant bulk and energy budget. Such disadvantages may be acceptable if these designs provide some significant intrinsic advantages at a much larger scale in the future, which remains to be seen. But for now, integrated electronic designs of Ising machines allow more immediate applications. We propose one such design that uses bistable nodes, coupled with programmable and variable strengths. The design is fully CMOS compatible for chip-scale applications and demonstrates competitive solution quality and significantly superior execution time and energy.
翻译:物理离子机依赖自然来引导动态系统走向最佳状态,这种状态可以被解读为对组合优化问题的一种超自然解决办法。这种将自然用作计算机制的设计可以提高性能和(或)降低操作成本,从而吸引产业和学术界的研究和原型努力。量子麻醉器是这种努力的一个突出例子。然而,一些以物理为中心的离子机需要严格的操作条件,从而产生大量的体积和能量预算。如果这些设计在未来更大规模上提供一些重要的内在优势,这些劣势或许可以被接受,但目前还有待观察。但是,综合的Ising机电子设计可以更直接地应用。我们建议一种设计,使用平衡节点,加上可编程和变异的强力。设计完全符合芯片级应用的CMOS,显示竞争性的解决方案质量和显著的超高执行时间和能量。