用贝叶斯优化探索全球最小和形交叉点的探索
Riho Somaki1, Taichi Inagaki1, Miho Hatanaka1,2
1Graduate School of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama, 223-8522, Japan.
这项研究引入了贝叶斯对分子几何学搜索的优化,克服了杂的量子计算机测量所带来的挑战. 该方法准确地定位关键分子结构,如全球最小值和形交叉点,即使与模拟的量子噪声.
科学领域:
- 计算化学计算化学
- 量子计算是一种量子计算.
- 化学物理 化学物理
背景情况:
- 分子几何优化通常依赖于量子化学计算的能量梯度.
- 量子计算将噪声引入能源计算中,阻碍基于梯度的优化.
- 需要无梯度的方法来解决量子辅助化学计算中的噪声.
研究的目的:
- 为分子几何学搜索开发和评估贝叶斯优化 (BO) 策略.
- 在探索关键分子结构时,为BO确定合适的获取函数 (AF).
- 找出全球最小 (GM) 和最稳定的圆交点 (CI).
主要方法:
- 建议使用贝叶斯优化 (BO) 的几何搜索策略.
- 研究了适当的获取函数 (AFs) 来探索全球最小值和圆交叉点.
- 将BO策略应用于两个测试分子,模拟杂的量子计算机测量.
主要成果:
- 成功地定位了全球最小 (GM) 和最稳定的圆交叉 (CI) 几何形状,对于这两种分子都具有很高的精度.
- 证明了BO策略的稳定性,即使对能量添加了人工随机噪声.
- 验证了BO在使用杂量子计算机输出优化几何方面的潜力.
结论:
- 贝叶斯优化为分子几何学搜索提供了一种可行的无梯度方法.
- 拟议的BO策略有效地处理噪音能量数据,模拟量子计算的局限性.
- 这种方法准确地识别了关键的分子结构,为量子增强的化学模拟铺平了道路.
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