初步修改hubbard为free_fermion - #63
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hzhangxyz
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Jul 17, 2025
| @@ -0,0 +1,222 @@ | |||
| """ | |||
| This file offers an interface for defining Hubbard models on a two-dimensional lattice. | |||
| import dataclasses | ||
| import torch | ||
| import tyro | ||
| from .mlp import WaveFunctionElectronUpDown as MlpWaveFunction |
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这两个应该是 WaveFunctionNormal， 适用于没有自旋的系统
| electron_number: typing.Annotated[int, tyro.conf.arg(aliases=["-e"])] | ||
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| # The coefficient of t | ||
| t: typing.Annotated[float, tyro.conf.arg(aliases=["-t"])] = 1 |
| if self.m <= 0 or self.n <= 0: | ||
| raise ValueError("The dimensions of the Hubbard model must be positive integers.") | ||
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| if self.electron_number < 0 or self.electron_number > 2 * self.m * self.n: |
| hamiltonian_dict: dict[tuple[tuple[int, int], ...], complex] = self._prepare_hamiltonian(args) | ||
| logging.info("Hamiltonian initialization complete") | ||
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| self.ref_energy: float = self._calc_ref_energy(args) |
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| def show_config(self, config: torch.Tensor) -> str: | ||
| string = "".join(f"{i:08b}"[::-1] for i in config.cpu().numpy()) | ||
| return "[" + ".".join("".join(self._show_config_site(string[(i + j * self.m):(i + j * self.m) + 1]) for i in range(self.m)) for j in range(self.n)) + "]" |
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这个地方之前独立出一个函数，是因为他是两个bit，四个情况变成一个字符，对于目前这个情况，你可以直接inline地写，参考 ising.py:229
| double_sites=model.m * model.n, | ||
| physical_dim=2, | ||
| is_complex=True, | ||
| spin_up=model.electron_number // 2, |
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|
才发现，我网络那边，目前只有同时限制两类粒子的(spin up/down) 和没有任何限制的。在我更新那边之前，你可以使用之前那个up down都限制的网络，然后up设置electron number，down设置0。 目前的版本，从功能上，应该只是粒子数有点问题。 比如 你如果将粒子数设置为本来就能量最低的那个值，就能算对了。 我看看代码怎么样啊。 |
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Description
Closes: #45
Checklist: