CIM-Spin: A 0.5-to-1.2V Scalable Annealing Processor Using Digital Compute-In-Memory Spin Operators and Register-Based Spins for Combinatorial Optimization Problems

📋 论文概要

该论文提出了一种基于数字计算内存（Compute-In-Memory）自旋算子的可扩展退火处理器CIM-Spin，用于解决组合优化问题。通过利用Ising模型的收敛特性和量子隧穿效应，实现了在0.5V至1.2V宽电压范围内的有效退火计算。

💡 主要创新点

• 采用数字计算内存自旋算子（Digital Compute-In-Memory Spin Operators），将计算与存储融合以提高能效。
• 提出可扩展的退火处理器架构，支持宽电压范围（0.5-1.2V）工作，适应不同性能需求。

🏷 关键词

📄 原文摘要

*Equally-Credited Authors (ECAs) Annealing processors [1-3] based on the convergence property of the Ising model offer an attractive means for solving combinatorial optimization problems [4]. A recently developed annealing processor exploiting the quantum tunneling effect

👥 作者与机构

Yuqi Su*, Hyunjoon Kim*, Bongjin Kim

Nanyang Technological University, Singapore, Singapore