Source code for netket.models.jastrow
# Copyright 2021 The NetKet Authors - All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
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import flax.linen as nn
import jax.numpy as jnp
from jax.nn.initializers import normal
from netket.utils.types import DType, Array, NNInitFunc
[docs]class Jastrow(nn.Module):
r"""
Jastrow wave function :math:`\Psi(s) = \exp(\sum_{ij} s_i W_{ij} s_j)`.
The W matrix is stored as a non-symmetric matrix, and symmetrized
during computation by doing :code:`W = W + W.T` in the computation.
"""
dtype: DType = jnp.complex128
"""The dtype of the weights."""
kernel_init: NNInitFunc = normal()
"""Initializer for the weights."""
@nn.compact
def __call__(self, x_in: Array):
nv = x_in.shape[-1]
dtype = jnp.promote_types(x_in.dtype, self.dtype)
x_in = jnp.asarray(x_in, dtype=dtype)
kernel = self.param("kernel", self.kernel_init, (nv, nv), self.dtype)
kernel = kernel + kernel.T
y = jnp.einsum("...i,ij,...j", x_in, kernel, x_in)
return y