| 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 |
|
|
