File size: 2,147 Bytes
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 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | from abc import ABC, abstractmethod
from dataclasses import dataclass
import h5py
import jax.numpy as jnp
from varipeps.peps import PEPS_Unit_Cell
from typing import Sequence, Union, List, Optional
@dataclass
class Expectation_Model(ABC):
"""
Abstract model of an general expectation value calculated for the complete
unit cell.
Parameters:
is_spiral_peps (:obj:`bool`):
Flag if the expectation value is for a spiral iPEPS ansatz.
"""
@abstractmethod
def __call__(
self,
peps_tensors: Sequence[jnp.ndarray],
unitcell: PEPS_Unit_Cell,
spiral_vectors: Optional[Union[jnp.ndarray, Sequence[jnp.ndarray]]] = None,
*,
normalize_by_size: bool = True,
only_unique: bool = True,
) -> Union[jnp.ndarray, List[jnp.ndarray]]:
"""
Calculate the expectation value for PEPS unitcell depending on the gates
set in the class.
Args:
peps_tensors (:term:`sequence` of :obj:`jax.numpy.ndarray`):
The sequence of unique PEPS tensors in the unitcell.
unitcell (:obj:`~varipeps.peps.PEPS_Unit_Cell`):
The PEPS unitcell.
spiral_vectors (single or :term:`sequence` of :obj:`jax.numpy.ndarray`):
If the expectation value is for a spiral iPEPS ansatz, in this
argument the wavevectors are expected.
Keyword args:
normalize_by_size (:obj:`bool`):
Flag if the expectation value should be normalized by the number
of tensors in the unitcell.
only_unique (:obj:`bool`):
Flag if the expectation value should be calculated just once for
each unique PEPS tensor in the unitcell.
Returns:
:obj:`jax.numpy.ndarray` or :obj:`list` of :obj:`jax.numpy.ndarray`:
The expectation values for all gates. Single tensor if only one gate
is applied.
"""
pass
@abstractmethod
def save_to_group(self, grp: h5py.Group):
pass
@classmethod
@abstractmethod
def load_from_group(cls, grp: h5py.Group):
pass
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