论文标题
CMOS兼容的Ising和Potts使用单个光子雪崩二极管退火
CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes
论文作者
论文摘要
大规模平行退火处理器可以为广泛的采样和优化问题提供卓越的性能。决定这些处理器大小的关键组件是神经元更新电路，理想地使用特殊的随机纳米版本实现。我们利用单个光子雪崩二极管（SPAD）和时间过滤来利用光子统计来生成随机状态。该方法是一种强大的替代方案，提供了当前在退火处理器中尚未看到的独特功能：能够连续控制计算温度和对Potts模型的无缝扩展的能力，Potts模型是两态ISING模型的$ n $ state概括。 Spads还提供了可观的实践优势，因为它们在当前的标准CMOS流程中很容易制造。作为实现基于CMOS SPAD的退火器的第一步，我们设计了Ising和Potts模型，这些模型由一系列离散的Spads驱动，并表明它们从理论分布中准确采样。
Massively parallel annealing processors may offer superior performance for a wide range of sampling and optimization problems. A key component dictating the size of these processors is the neuron update circuit, ideally implemented using special stochastic nanodevices. We leverage photon statistics using single photon avalanche diodes (SPADs) and temporal filtering to generate stochastic states. This method is a powerful alternative offering unique features not currently seen in annealing processors: the ability to continuously control the computational temperature and the seamless extension to the Potts model, a $n$-state generalization of the two-state Ising model. SPADs also offer a considerable practical advantage since they are readily manufacturable in current standard CMOS processes. As a first step towards realizing a CMOS SPAD-based annealer, we have designed Ising and Potts models driven by an array of discrete SPADs and show they accurately sample from their theoretical distributions.
