KagomeLattice#

class KagomeLattice(rows, cols, edge_parameter=1.0, onsite_parameter=0.0, boundary_condition=BoundaryCondition.OPEN)[fuente]#

Bases: Lattice

The two-dimensional kagome lattice.

The kagome lattice is a two-dimensional Bravais lattice formed by tiling together equilateral triangles and regular hexagons in an alternating pattern. The lattice is spanned by the primitive lattice vectors ${\vec{a}}_{1} = (1, 0)^{⊤}$ and ${\vec{a}}_{2} = (1 / 2, \sqrt{3} / 2)^{⊤}$ with each unit cell consisting of three lattice sites located at ${\vec{r}}_{0} = 0$ , ${\vec{r}}_{1} = 2 {\vec{a}}_{1}$ and ${\vec{r}}_{2} = 2 {\vec{a}}_{2}$ , respectively.

This class allows for the simple construction of kagome lattices. For example,

from qiskit_nature.second_q.hamiltonians.lattices import (
    BoundaryCondition,
    KagomeLattice,
)

kagome = KagomeLattice(
    5,
    4,
    edge_parameter = 1.0,
    onsite_parameter = 2.0,
    boundary_condition = BoundaryCondition.PERIODIC
)

instantiates a kagome lattice with 5 and 4 unit cells in the x and y direction, respectively, which has weights 1.0 on all edges and weights 2.0 on self-loops. The boundary conditions are periodic for the entire lattice.

References:

Kagome Lattice @ wikipedia

Bravais Lattice @ wikipedia

Parámetros:

rows (int) – Number of unit cells in the x direction.
cols (int) – Number of unit cells in the y direction.
edge_parameter (complex) – Weight on all the edges, specified as a single value Defaults to 1.0,
onsite_parameter (complex) – Weight on the self-loops, which are edges connecting a node to itself. Defaults to 0.0.
boundary_condition (BoundaryCondition | tuple[BoundaryCondition, BoundaryCondition]) – Boundary condition for each direction. The available boundary conditions are: BoundaryCondition.OPEN, BoundaryCondition.PERIODIC. Defaults to BoundaryCondition.OPEN.

Muestra:

ValueError – When edge parameter or boundary condition is a tuple, the length of that is not the same as that of size.

Attributes

boundary_condition#

Boundary condition for the entire lattice.

Devuelve:: The boundary condition.

cols#

Number of unit cells in the y direction.

Devuelve:: The number of columns of the lattice.

edge_parameter#

Weights on all edges.

Devuelve:: The parameter for the edges.

graph#: Return a copy of the input graph.

node_indexes#: Return the node indexes.

num_nodes#: Return the number of nodes.

onsite_parameter#

Weight on the self-loops.

Devuelve:: The parameter for the self-loops.

rows#

Number of unit cells in the x direction.

Devuelve:: The number of rows of the lattice.

size#

Number of unit cells in the x and y direction, respectively.

Devuelve:: The size of the lattice.

weighted_edge_list#: Return a list of weighted edges.

Methods

copy()#

Return a copy of the lattice.

Tipo del valor devuelto:: Lattice

draw(*, self_loop=False, style=None)#

Draw the lattice.

Parámetros:

self_loop (bool) – Draw self-loops in the lattice. Defaults to False.
style (LatticeDrawStyle | None) – Styles for rustworkx.visualization.mpl_draw. Please see https://qiskit.org/documentation/rustworkx/stubs/rustworkx.visualization.mpl_draw.html#rustworkx.visualization.mpl_draw for details.

draw_without_boundary(*, self_loop=False, style=None)[fuente]#

Draw the lattice with no edges between the boundaries.

Parámetros:

self_loop (bool) – Draw self-loops in the lattice. Defaults to False.
style (LatticeDrawStyle | None) – Styles for rustworkx.visualization.mpl_draw. Please see https://qiskit.org/documentation/rustworkx/stubs/rustworkx.visualization.mpl_draw.html#rustworkx.visualization.mpl_draw for details.

classmethod from_adjacency_matrix(interaction_matrix)#

Constructs a new lattice from a 2-dimensional adjacency matrix.

This method is equivalent to PyGraph.from_adjacency_matrix() or its complex counterpart when given a complex-valued matrix.

Parámetros:: interaction_matrix (ndarray) – the adjacency matrix from which to build out the lattice.
Muestra:: ValueError – if the provided adjacency matrix is not a 2-D square matrix.
Devuelve:: A new lattice based on the provided adjacency matrix.
Tipo del valor devuelto:: Lattice

classmethod from_nodes_and_edges(num_nodes, weighted_edges)#

Return an instance of Lattice from the number of nodes and the list of edges.

Parámetros:

num_nodes (int) – The number of nodes.
weighted_edges (List[Tuple[int, int, complex]]) – A list of tuples consisting of two nodes and the weight between them.

Devuelve:

Lattice generated from lists of nodes and edges.

Tipo del valor devuelto:

Lattice

to_adjacency_matrix(weighted=False)#

Return its adjacency matrix from weighted edges. The weighted edge list is interpreted as the upper triangular matrix. Defaults to False.

Parámetros:: weighted (bool) – The matrix elements are 0 or 1 when it is False. Otherwise, the weights on edges are returned as the matrix elements.
Devuelve:: The adjacency matrix of the input graph.
Tipo del valor devuelto:: ndarray

uniform_parameters(uniform_interaction, uniform_onsite_potential)#

Returns a new lattice with uniform parameters but otherwise identical structure.

Parámetros:

uniform_interaction (complex) – the value to use for all edge weights.
uniform_onsite_potential (complex) – the value to use for all single-vertex loop weights.

Devuelve:

A new lattice with identical structure but uniform parameters.

Tipo del valor devuelto:

Lattice