当前位置: X-MOL 学术J. Comput. Graph. Stat. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Quantum Annealing via Path-Integral Monte Carlo with Data Augmentation
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2020-10-09 , DOI: 10.1080/10618600.2020.1814787
Jianchang Hu 1 , Yazhen Wang 2
Affiliation  

This paper considers quantum annealing in the Ising framework for solving combinatorial optimization problems. The path-integral Monte Carlo simulation approach is often used to approximate quantum...

中文翻译:

通过具有数据增强的路径积分蒙特卡洛进行量子退火

本文考虑在 Ising 框架中使用量子退火来解决组合优化问题。路径积分蒙特卡罗模拟方法通常用于近似量子...
更新日期:2020-10-09
down
wechat
bug