Mapping of Kagome structures (varipeps.mapping.kagome)
- class varipeps.mapping.kagome.Kagome_Map_PESS3_To_Single_PEPS_Site(unitcell_structure: Sequence[Sequence[int]], chi: int, max_chi: int | None = None)
Bases:
Map_To_PEPS_ModelMap a 3-site Kagome iPESS unit cell to a iPEPS structure.
Create a PEPS unitcell from a Kagome 3-PESS structure. To this end, the two simplex tensor and all three sites are mapped into PEPS sites.
The axes of the simplex tensors are expected to be in the order: - Up: PESS site 1, PESS site 2, PESS site 3 - Down: PESS site 3, PESS site 2, PESS site 1
The axes of the site tensors are expected to be in the order connection to down simplex, physical bond, connection to up simplex.
The PESS structure is contracted in the way that all site tensors are connected to the up simplex and the down simplex to site 1.
- Parameters:
unitcell_structure (sequence of sequence of
intor 2d array) – Two dimensional array modeling the structure of the unit cell. For details see the description ofPEPS_Unit_Cell.chi (
int) – Bond dimension of environment tensors which should be used for the unit cell generated.max_chi (
int, optional) – Maximal allowed bond dimension of environment tensors which should be used for the unit cell generated.Default:None- __call__(input_tensors: Sequence[Array], *, generate_unitcell: bool = True) List[Array] | Tuple[List[Array], PEPS_Unit_Cell]
Calculate the PEPS unitcell out of a list of input tensors depending on the original systems.
- Parameters:
input_tensors (sequence of
jax.numpy.ndarray) – The sequence of input tensors that should be converted.- Keyword Arguments:
generate_unitcell (
bool, optional) – Flag if the only the PEPS tensors or additionally the unitcell should be calculated.Default:True- Returns:
The mapped PEPS tensors and if
generate_unitcell = Truethe unitcell for these tensors.- Return type:
listofjax.numpy.ndarrayortupleoflistofjax.numpy.ndarrayandPEPS_Unit_Cell- classmethod autosave_wrapper(filename: PathLike, tensors: Array, unitcell: PEPS_Unit_Cell, counter: int | None = None, max_trunc_error_list: float | None = None) None
- classmethod load_from_file(path: PathLike, *, return_config: bool = False, return_max_trunc_error_list: bool = False) Tuple[List[Array], PEPS_Unit_Cell] | Tuple[List[Array], PEPS_Unit_Cell, PEPS_AD_Config]
Load Kagome PESS tensors and unit cell from a HDF5 file.
This function read the group “kagome_pess” from the file and pass this group to the method
load_from_groupthen.- Parameters:
path (
os.PathLike) – Path of the HDF5 file.- Keyword Arguments:
return_config (
bool, optional) – Return a config object initialized with the values from the HDF5 files. If no config is stored in the file, just the data is returned. Missing config flags in the file uses the default values from the config object.Default:Falsereturn_auxiliary_data (
bool) – Return dictionary with string indexed auxiliary data which has been should be stored along the other data in the file.- Returns:
The tuple with the list of the PESS tensors and the PEPS unitcell is returned. If
return_config = True. the config is returned as well. Ifreturn_auxiliary_data = True. the auxiliary data is returned as well.- Return type:
tuple(list(jax.numpy.ndarray),PEPS_Unit_Cell) ortuple(list(jax.numpy.ndarray),PEPS_Unit_Cell,PEPS_AD_Config)- static load_from_group(grp: Group, *, return_config: bool = False) Tuple[List[Array], PEPS_Unit_Cell] | Tuple[List[Array], PEPS_Unit_Cell, PEPS_AD_Config]
Load the Kagome PESS tensors and unit cell from a HDF5 group which is be passed to the method.
- Parameters:
grp (
h5py.Group) – HDF5 group object to load the data from.- Keyword Arguments:
return_config (
bool, optional) – Return a config object initialized with the values from the HDF5 files. If no config is stored in the file, just the data is returned. Missing config flags in the file uses the default values from the config object.Default:False- Returns:
The tuple with the list of the PESS tensors and the PEPS unitcell is returned. If
return_config = True. the config is returned as well.- Return type:
tuple(list(jax.numpy.ndarray),PEPS_Unit_Cell) ortuple(list(jax.numpy.ndarray),PEPS_Unit_Cell,PEPS_AD_Config)- classmethod random(structure: Sequence[Sequence[int]], d: int, D: int, chi: int | Sequence[int], dtype: Type[number], max_chi: int, *, seed: int | None = None, destroy_random_state: bool = True) Tuple[List[Array], T_Kagome_Map_PESS3_To_Single_PEPS_Site]
- classmethod save_to_file(path: PathLike, tensors: List[Array], unitcell: PEPS_Unit_Cell, *, store_config: bool = True, auxiliary_data: Dict[str, Any] | None = None) None
Save Kagome PESS tensors and unit cell to a HDF5 file.
This function creates a single group “kagome_pess” in the file and pass this group to the method
save_to_groupthen.- Parameters:
path (
os.PathLike) – Path of the new file. Caution: The file will overwritten if existing.tensors (
listofjax.numpy.ndarray) – List with the PEPS tensors which should be stored in the file.unitcell (
PEPS_Unit_Cell) – Full unit cell object which should be stored in the file.
- Keyword Arguments:
store_config (
bool, optional) – Store the current values of the global config object into the HDF5 file as attrs of an extra group.Default:Trueauxiliary_data (
dictwithstrto storable objects, optional) – Dictionary with string indexed auxiliary HDF5-storable entries which should be stored along the other data in the file.Default:None- static save_to_group(grp: Group, tensors: List[Array], unitcell: PEPS_Unit_Cell, *, store_config: bool = True) None
Save Kagome PESS tensors and unit cell to a HDF5 group which is be passed to the method.
- Parameters:
grp (
h5py.Group) – HDF5 group object to store the data into.tensors (
listofjax.numpy.ndarray) – List with the PEPS tensors which should be stored in the file.unitcell (
PEPS_Unit_Cell) – Full unit cell object which should be stored in the file.
- Keyword Arguments:
store_config (
bool, optional) – Store the current values of the global config object into the HDF5 file as attrs of an extra group.Default:True- class varipeps.mapping.kagome.Kagome_Map_PESS3_To_Single_PEPS_Site_Upper_Triangle(unitcell_structure: Sequence[Sequence[int]], chi: int, max_chi: int | None = None)
Bases:
Map_To_PEPS_ModelMap a 3-site Kagome iPESS unit cell to a iPEPS structure.
Create a PEPS unitcell from a Kagome 3-PESS structure. To this end, the two simplex tensor and all three sites are mapped into PEPS sites.
The axes of the simplex tensors are expected to be in the order: - Up: PESS site 1, PESS site 2, PESS site 3 - Down: PESS site 3, PESS site 2, PESS site 1
The axes of the site tensors are expected to be in the order connection to down simplex, physical bond, connection to up simplex.
The PESS structure is contracted in the way that all site tensors are connected to the up simplex and the down simplex to site 2.
- Parameters:
unitcell_structure (sequence of sequence of
intor 2d array) – Two dimensional array modeling the structure of the unit cell. For details see the description ofPEPS_Unit_Cell.chi (
int) – Bond dimension of environment tensors which should be used for the unit cell generated.max_chi (
int, optional) – Maximal allowed bond dimension of environment tensors which should be used for the unit cell generated.Default:None- __call__(input_tensors: Sequence[Array], *, generate_unitcell: bool = True) List[Array] | Tuple[List[Array], PEPS_Unit_Cell]
Calculate the PEPS unitcell out of a list of input tensors depending on the original systems.
- Parameters:
input_tensors (sequence of
jax.numpy.ndarray) – The sequence of input tensors that should be converted.- Keyword Arguments:
generate_unitcell (
bool, optional) – Flag if the only the PEPS tensors or additionally the unitcell should be calculated.Default:True- Returns:
The mapped PEPS tensors and if
generate_unitcell = Truethe unitcell for these tensors.- Return type:
listofjax.numpy.ndarrayortupleoflistofjax.numpy.ndarrayandPEPS_Unit_Cell- class varipeps.mapping.kagome.Kagome_PESS3_Expectation_Value(upward_triangle_gates: Sequence[Array], downward_triangle_gates: Sequence[Array], normalization_factor: int = 3, operation_before_sum: Callable[[T_float_complex], T_float_complex] | None = None, is_spiral_peps: bool = False, spiral_unitary_operator: Array | None = None)
Bases:
Expectation_ModelClass to calculate expectation values for a mapped Kagome 3-PESS structure.
Structure of the Kagome lattice with smallest possible unit cell marked by dashed lines.
- Parameters:
upward_triangle_gates (sequence of
jax.numpy.ndarray) – Sequence with the gates that should be applied to the upward triangles.downward_triangle_gates (sequence of
jax.numpy.ndarray) – Sequence with the gates that should be applied to the downward triangles.normalization_factor (
int, optional) – Factor which should be used to normalize the calculated values. If for example three sites are mapped into one PEPS site this should be 3.Default:3operation_before_sum (callable of type
float/complextofloat/complex, optional) – Function which should be applied to the expectation values before they are summed up.Default:Noneis_spiral_peps (
bool, optional) – Flag if the expectation value is for a spiral iPEPS ansatz.Default:Falsespiral_unitary_operator (
jax.numpy.ndarray, optional) – Operator used to generate unitary for spiral iPEPS ansatz. Required if spiral iPEPS ansatz is used.Default:None- __call__(peps_tensors: Sequence[Array], unitcell: PEPS_Unit_Cell, spiral_vectors: Array | Sequence[Array] | None = None, *, normalize_by_size: bool = True, only_unique: bool = True, return_single_gate_results: bool = False) Array | List[Array]
Calculate the expectation value for PEPS unitcell depending on the gates set in the class.
- Parameters:
peps_tensors (sequence of
jax.numpy.ndarray) – The sequence of unique PEPS tensors in the unitcell.unitcell (
PEPS_Unit_Cell) – The PEPS unitcell.spiral_vectors (single or sequence of
jax.numpy.ndarray, optional) – If the expectation value is for a spiral iPEPS ansatz, in this argument the wavevectors are expected.Default:None- Keyword Arguments:
normalize_by_size (
bool, optional) – Flag if the expectation value should be normalized by the number of tensors in the unitcell.Default:Trueonly_unique (
bool, optional) – Flag if the expectation value should be calculated just once for each unique PEPS tensor in the unitcell.Default:True- Returns:
The expectation values for all gates. Single tensor if only one gate is applied.
- Return type:
- class varipeps.mapping.kagome.Kagome_Upper_Right_Expectation_Value(upward_triangle_gates: Sequence[Array], downward_triangle_gates: Sequence[Array], normalization_factor: int = 3, operation_before_sum: Callable[[T_float_complex], T_float_complex] | None = None)
Bases:
Expectation_ModelClass to calculate expectation values for a mapped Kagome 3-PESS structure.
- Parameters:
upward_triangle_gates (sequence of
jax.numpy.ndarray) – Sequence with the gates that should be applied to the upward triangles.downward_triangle_gates (sequence of
jax.numpy.ndarray) – Sequence with the gates that should be applied to the downward triangles.normalization_factor (
int, optional) – Factor which should be used to normalize the calculated values. If for example three sites are mapped into one PEPS site this should be 3.Default:3operation_before_sum (callable of type
float/complextofloat/complex, optional) – Function which should be applied to the expectation values before they are summed up.Default:None- __call__(peps_tensors: Sequence[Array], unitcell: PEPS_Unit_Cell, *, normalize_by_size: bool = True, only_unique: bool = True) Array | List[Array]
Calculate the expectation value for PEPS unitcell depending on the gates set in the class.
- Parameters:
peps_tensors (sequence of
jax.numpy.ndarray) – The sequence of unique PEPS tensors in the unitcell.unitcell (
PEPS_Unit_Cell) – The PEPS unitcell.spiral_vectors (single or sequence of
jax.numpy.ndarray) – If the expectation value is for a spiral iPEPS ansatz, in this argument the wavevectors are expected.
- Keyword Arguments:
normalize_by_size (
bool, optional) – Flag if the expectation value should be normalized by the number of tensors in the unitcell.Default:Trueonly_unique (
bool, optional) – Flag if the expectation value should be calculated just once for each unique PEPS tensor in the unitcell.Default:True- Returns:
The expectation values for all gates. Single tensor if only one gate is applied.
- Return type:
- class varipeps.mapping.kagome.iPESS3_9Sites_Three_PEPS_Site
Bases:
objectMap a 9-sites Kagome iPESS3 unit cell to PEPS structure using a PEPS unitcell consisting of three unique sites.
- static unitcell_from_pess_tensors(up_simplex_1: ndarray | Array, up_simplex_2: ndarray | Array, up_simplex_3: ndarray | Array, down_simplex_1: ndarray | Array, down_simplex_2: ndarray | Array, down_simplex_3: ndarray | Array, site_A1: ndarray | Array, site_A2: ndarray | Array, site_A3: ndarray | Array, site_B1: ndarray | Array, site_B2: ndarray | Array, site_B3: ndarray | Array, site_C1: ndarray | Array, site_C2: ndarray | Array, site_C3: ndarray | Array, d: int, D: int, chi: int) PEPS_Unit_Cell
Create a PEPS unitcell from a Kagome 3-PESS 9-sites structure. To this end, the six simplex tensor and all nine sites are mapped into thre unique PEPS sites.
The axes of the simplex tensors are expected to be in the order: - Up1: PESS site A1, PESS site B1, PESS site C1 - Up2: PESS site A2, PESS site B2, PESS site C3 - Up3: PESS site A3, PESS site B3, PESS site C2 - Down1: PESS site C2, PESS site B1, PESS site A2 - Down2: PESS site C1, PESS site B2, PESS site A3 - Down3: PESS site C3, PESS site B3, PESS site A1
The axes site tensors are expected to be in the order connection to down simplex, physical bond, connection to up simplex.
The PESS structure is contracted in the way that all site tensors are connected to the up simplex and then the down simplex to site A{1,2,3}.
- Parameters:
up_simplex_1 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the first up simplex.up_simplex_2 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the second up simplex.up_simplex_3 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the third up simplex.down_simplex_1 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the first down simplex.down_simplex_2 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the second down simplex.down_simplex_3 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the third down simplex.site_A1 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site A1.site_A2 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site A2.site_A3 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site A3.site_B1 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site B1.site_B2 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site B2.site_B3 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site B3.site_C1 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site C1.site_C2 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site C2.site_C3 (
numpy.ndarrayorjax.numpy.ndarray) – The tensor of the PESS site C3.d (
int) – Physical dimensionD (
int) – Bond dimension.chi (
int) – Environment bond dimension.
- Returns:
PEPS unitcell with the mapped PESS structure and initialized environment tensors.
- Return type: