多态概率计算使用基于波茨模型的浮体MOSFET来解决复杂的组合优化问题
Sunwoo Cheong1, Soo Hyung Lee1, Janguk Han1
1College of Engineering, Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul, Republic of Korea.
Advanced materials (Deerfield Beach, Fla.)
|February 17, 2026
概括
本研究介绍了一种使用MOSFETs的新型多态概率计算系统,以有效地解决复杂的组合优化问题. 与传统方法相比,新系统提供了更快的融合和更好的能源效率.
科学领域:
- 新兴的计算范式正在出现.
- 固态设备物理 固态设备物理
- 计算复杂性 计算复杂性
背景情况:
- 概率计算为解决复杂的组合优化问题 (COP) 提供了一个有希望的方法.
- 目前的方法通常依赖于Ising模型,该模型对复杂的COP有局限性.
- 随机值切换浮体金属氧化物半导体场效应晶体管 (FB-MOSFET) 为多态概率位 (p-bit) 实现提供了一个机会.
研究的目的:
- 提出并实验验证基于波茨模型的多态概率计算系统,用于解决具有挑战性的COP.
- 为了利用FB-MOSFET作为多态p-bit来增强计算能力.
- 证明系统的效率,可扩展性和对现有方法的能源优势.
主要方法:
- 开发一个利用波茨模型的多态概率计算系统.
- 将随机值切换FB-MOSFET集成为多态p位.
- 实施排水电压共享和一次热采样方法,以控制概率行为和可扩展的回火.
- 在基准COP实例上进行实验验证,例如旋转玻璃和max-4切割问题.
主要成果:
- 拟议的系统成功地采样了可调的博尔兹曼分布,这对于解决COP至关重要.
- 实验结果显示,与传统的计算方法相比,融合速度更快.
- 该系统表现出卓越的能源效率,并减少了复杂的优化任务的解决时间.
- 对旋转玻璃和max-4切割问题的验证证实了该系统的有效性.
结论:
- 使用FB-MOSFET的多态概率计算为大规模,复杂的COP提供了高效和可扩展的解决方案.
- 拟议的系统在速度和能源消耗方面提供了显著的优势.
- 这种方法突出了纯粹基于MOSFET的概率计算对未来计算挑战的潜力.
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