20k-spin Ising Chip for Combinational Optimization Problem with CMOS Annealing

📋 论文概要

该论文提出了一款基于CMOS退火技术的20k自旋Ising芯片，用于解决组合优化问题。通过将问题映射到Ising模型并执行基态搜索，实现了高效的近似求解。

💡 主要创新点

• 首次在CMOS工艺上实现20k自旋规模的Ising芯片，支持组合优化问题的硬件加速。
• 提出基于CMOS退火的电路架构，通过模拟自旋行为和退火过程实现能量最小化。

🏷 关键词

📄 原文摘要

will slow down due to the end of semiconductor scaling. Presently a new computing paradigm, so-called natural computing, which maps problems to physical models and solves the problem by its own convergence property, is expected. The analog computer using superconductivity from D-Wave [1] is one of those computers. A neuron chip [2] is also one of them. We proposed a CMOS-type Ising computer [3]. The Ising computer maps problems to an Ising model, a model to express the behavior of magnetic spins (the upper left diagram in Fig. 24.3.1), and solves the problems by ground-state search operations. The energy of the system is expressed by the formula in the diagram. Computing flows are expressed in the lower flow chart in Fig. 24.3.1. In the conventional Neumann architecture, the problem is sequentially and repeatedly

👥 作者与机构

Masanao Yamaoka, Chihiro Yoshimura, Masato Hayashi,

Takuya Okuyama, Hidetaka Aoki, Hiroyuki Mizuno Hitachi, Tokyo, Japan In the near future, the performance growth of Neumann-architecture computers