Recommender engine for continuous-time quantum Monte Carlo methods.

@article{Huang2017RecommenderEF,
  title={Recommender engine for continuous-time quantum Monte Carlo methods.},
  author={Li Huang and Yifeng Yang and Lei Wang},
  journal={Physical review. E},
  year={2017},
  volume={95 3-1},
  pages={
          031301
        }
}
Recommender systems play an essential role in the modern business world. They recommend favorable items such as books, movies, and search queries to users based on their past preferences. Applying similar ideas and techniques to Monte Carlo simulations of physical systems boosts their efficiency without sacrificing accuracy. Exploiting the quantum to classical mapping inherent in the continuous-time quantum Monte Carlo methods, we construct a classical molecular gas model to reproduce the… CONTINUE READING