Пример #1
0
def draw_architecture_yield(target_graph, **kwargs):
    """ Draws graph G according to G's family layout and highlights
        faulty qubits.
    """
    family = target_graph.graph['family']

    try:
        m = target_graph.graph['columns']
        n = target_graph.graph['rows']
        t = target_graph.graph['tile']
        coordinates = target_graph.graph['labels'] == 'coordinate'
    except:
        raise ValueError("Target graph needs to have columns, rows, and tile \
        attributes to identify faulty qubits.")

    if family == 'chimera':
        dnx.draw_chimera_yield(target_graph, **kwargs)

    elif family == 'pegasus':
        dnx.draw_pegasus_yield(target_graph, **kwargs)

    else:
        nx.draw_spring(target_graph)
        warnings.warn(
            "Graph family not available. Using NetworkX spring layout")
Пример #2
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def yield_double_plot(P, filename):
    fig = plt.figure(figsize=(40, 20))
    axes = fig.subplots(nrows=1, ncols=2)

    dnx.draw_pegasus_yield(P, node_size=80, ax=axes[0])

    dnx.draw_pegasus(P,
                     crosses=True,
                     node_size=80,
                     node_color="#f37820",
                     edge_color="#17bebb",
                     ax=axes[1])

    fig.tight_layout()
    plt.savefig(filename)
    plt.close()
Пример #3
0
# Copyright 2020 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pegasus_graph import P6
import dwave_networkx as dnx

import matplotlib
try:
    import matplotlib.pyplot as plt
except ImportError:
    matplotlib.use("agg")
    import matplotlib.pyplot as plt

dnx.draw_pegasus_yield(P6, node_size=80)

dnx.draw_pegasus(P6, node_size=80)
 def test_draw_pegasus_yield(self):
     G = dnx.pegasus_graph(3, data=False)
     G.remove_edges_from([(5, 104), (12, 96), (23, 112)])
     G.remove_nodes_from([109, 139])
     dnx.draw_pegasus_yield(G)