基本情報
Last Update:2023/05/17
公式サイト
ライセンス
GNU General Public License version 3 (GPL v3)
| 利用環境 | Python |
|---|---|
| 開発者 | Kazuyoshi Yoshimi, Ryo Tamura, Takahiro Misawa. |
| 関連アプリ | |
| 関連キーワード |
BEEMs
BEEMs is a Bayesian optimization tool of Effective Models (BEEMs). In BEEMs, the quantum lattice model solver HΦ is used as a forward problem solver to compute the magnetisation curve based on the given Hamiltonian. The deviation between the obtained magnetisation curve and the target magnetisation curve is used as a cost function, and the Bayesian optimization library PHYSBO is used to propose the next candidate point of the Hamiltonian for searching the minimum cost function