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6288873 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | from functools import partial
import jax
import jax.numpy as jnp
from jax import jit
from varipeps.contractions import apply_contraction_jitted
@partial(jit, static_argnums=(3,))
def _one_site_workhorse(
peps_tensors,
peps_tensor_objs,
gates,
real_result=False,
):
density_matrix = apply_contraction_jitted(
"triangular_ctmrg_one_site_expectation",
[peps_tensors[0]],
[peps_tensor_objs[0]],
[],
)
norm = jnp.trace(density_matrix)
if real_result:
return [
jnp.real(jnp.tensordot(density_matrix, g, ((0, 1), (0, 1))) / norm)
for g in gates
]
else:
return [
jnp.tensordot(density_matrix, g, ((0, 1), (0, 1))) / norm for g in gates
]
def calc_triangular_one_site(
peps_tensors,
peps_tensor_objs,
gates,
):
if isinstance(peps_tensors, jnp.ndarray):
peps_tensors = (peps_tensors,)
peps_tensor_objs = (peps_tensor_objs,)
real_result = all(jnp.allclose(g, g.T.conj()) for g in gates)
return _one_site_workhorse(
peps_tensors, peps_tensor_objs, tuple(gates), real_result
)
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