Código fonte de qiskit.transpiler.passes.synthesis.high_level_synthesis

# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.


"""Synthesize higher-level objects."""


from qiskit.converters import circuit_to_dag
from qiskit.transpiler.basepasses import TransformationPass
from qiskit.dagcircuit.dagcircuit import DAGCircuit
from qiskit.transpiler.exceptions import TranspilerError

from qiskit.synthesis.clifford import (
    synth_clifford_full,
    synth_clifford_layers,
    synth_clifford_depth_lnn,
    synth_clifford_greedy,
    synth_clifford_ag,
    synth_clifford_bm,
)
from qiskit.synthesis.linear import synth_cnot_count_full_pmh, synth_cnot_depth_line_kms
from qiskit.synthesis.permutation import (
    synth_permutation_basic,
    synth_permutation_acg,
    synth_permutation_depth_lnn_kms,
)

from .plugin import HighLevelSynthesisPluginManager, HighLevelSynthesisPlugin


class HLSConfig:
    """The high-level-synthesis config allows to specify a list of "methods" used by
    :class:`~.HighLevelSynthesis` transformation pass to synthesize different types
    of higher-level-objects. A higher-level object is an object of type
    :class:`~.Operation` (e.g., "clifford", "linear_function", etc.), and the list
    of applicable synthesis methods is strictly tied to the name of the operation.
    In the config, each method is specified as a tuple consisting of the name of the
    synthesis algorithm and of a dictionary providing additional arguments for this
    algorithm. Additionally, a synthesis method can be specified as a tuple consisting
    of an instance of :class:`.HighLevelSynthesisPlugin` and additional arguments.
    Moreover, when there are no additional arguments, a synthesis
    method can be specified simply by name or by an instance
    of :class:`.HighLevelSynthesisPlugin`. The following example illustrates different
    ways how a config file can be created::

        from qiskit.transpiler.passes.synthesis.high_level_synthesis import HLSConfig
        from qiskit.transpiler.passes.synthesis.high_level_synthesis import ACGSynthesisPermutation

        # All the ways to specify hls_config are equivalent
        hls_config = HLSConfig(permutation=[("acg", {})])
        hls_config = HLSConfig(permutation=["acg"])
        hls_config = HLSConfig(permutation=[(ACGSynthesisPermutation(), {})])
        hls_config = HLSConfig(permutation=[ACGSynthesisPermutation()])

    The names of the synthesis algorithms should be declared in ``entry_points`` for
    ``qiskit.synthesis`` in ``setup.py``, in the form
    <higher-level-object-name>.<synthesis-method-name>.

    The standard higher-level-objects are recommended to have a synthesis method
    called "default", which would be called automatically when synthesizing these objects,
    without having to explicitly set these methods in the config.

    To avoid synthesizing a given higher-level-object, one can give it an empty list of methods.

    For an explicit example of using such config files, refer to the
    documentation for :class:`~.HighLevelSynthesis`.
    """

    def __init__(self, use_default_on_unspecified=True, **kwargs):
        """Creates a high-level-synthesis config.

        Args:
            use_default_on_unspecified (bool): if True, every higher-level-object without an
                explicitly specified list of methods will be synthesized using the "default"
                algorithm if it exists.
            kwargs: a dictionary mapping higher-level-objects to lists of synthesis methods.
        """
        self.use_default_on_unspecified = use_default_on_unspecified
        self.methods = {}

        for key, value in kwargs.items():
            self.set_methods(key, value)

    def set_methods(self, hls_name, hls_methods):
        """Sets the list of synthesis methods for a given higher-level-object. This overwrites
        the lists of methods if also set previously."""
        self.methods[hls_name] = hls_methods


# ToDo: Do we have a way to specify optimization criteria (e.g., 2q gate count vs. depth)?


[documentos]class HighLevelSynthesis(TransformationPass): """Synthesize higher-level objects using synthesis plugins. Synthesis plugins apply synthesis methods specified in the high-level-synthesis config (refer to the documentation for :class:`~.HLSConfig`). As an example, let us assume that ``op_a`` and ``op_b`` are names of two higher-level objects, that ``op_a``-objects have two synthesis methods ``default`` which does require any additional parameters and ``other`` with two optional integer parameters ``option_1`` and ``option_2``, that ``op_b``-objects have a single synthesis method ``default``, and ``qc`` is a quantum circuit containing ``op_a`` and ``op_b`` objects. The following code snippet:: hls_config = HLSConfig(op_b=[("other", {"option_1": 7, "option_2": 4})]) pm = PassManager([HighLevelSynthesis(hls_config=hls_config)]) transpiled_qc = pm.run(qc) shows how to run the alternative synthesis method ``other`` for ``op_b``-objects, while using the ``default`` methods for all other high-level objects, including ``op_a``-objects. """ def __init__(self, hls_config=None): super().__init__() if hls_config is not None: self.hls_config = hls_config else: # When the config file is not provided, we will use the "default" method # to synthesize Operations (when available). self.hls_config = HLSConfig(True) self.hls_plugin_manager = HighLevelSynthesisPluginManager()
[documentos] def run(self, dag: DAGCircuit) -> DAGCircuit: """Run the HighLevelSynthesis pass on `dag`. Args: dag: input dag. Returns: Output dag with certain Operations synthesized (as specified by the hls_config). Raises: TranspilerError: when the specified synthesis method is not available. """ for node in dag.op_nodes(): if node.name in self.hls_config.methods.keys(): # the operation's name appears in the user-provided config, # we use the list of methods provided by the user methods = self.hls_config.methods[node.name] elif ( self.hls_config.use_default_on_unspecified and "default" in self.hls_plugin_manager.method_names(node.name) ): # the operation's name does not appear in the user-specified config, # we use the "default" method when instructed to do so and the "default" # method is available methods = ["default"] else: methods = [] for method in methods: # There are two ways to specify a synthesis method. The more explicit # way is to specify it as a tuple consisting of a synthesis algorithm and a # list of additional arguments, e.g., # ("kms", {"all_mats": 1, "max_paths": 100, "orig_circuit": 0}), or # ("pmh", {}). # When the list of additional arguments is empty, one can also specify # just the synthesis algorithm, e.g., # "pmh". if isinstance(method, tuple): plugin_specifier, plugin_args = method else: plugin_specifier = method plugin_args = {} # There are two ways to specify a synthesis algorithm being run, # either by name, e.g. "kms" (which then should be specified in entry_points), # or directly as a class inherited from HighLevelSynthesisPlugin (which then # does not need to be specified in entry_points). if isinstance(plugin_specifier, str): if plugin_specifier not in self.hls_plugin_manager.method_names(node.name): raise TranspilerError( "Specified method: %s not found in available plugins for %s" % (plugin_specifier, node.name) ) plugin_method = self.hls_plugin_manager.method(node.name, plugin_specifier) else: plugin_method = plugin_specifier # ToDo: similarly to UnitarySynthesis, we should pass additional parameters # e.g. coupling_map to the synthesis algorithm. decomposition = plugin_method.run(node.op, **plugin_args) # The synthesis methods that are not suited for the given higher-level-object # will return None, in which case the next method in the list will be used. if decomposition is not None: dag.substitute_node_with_dag(node, circuit_to_dag(decomposition)) break return dag
class DefaultSynthesisClifford(HighLevelSynthesisPlugin): """The default clifford synthesis plugin. For N <= 3 qubits this is the optimal CX cost decomposition by Bravyi, Maslov. For N > 3 qubits this is done using the general non-optimal greedy compilation routine from reference by Bravyi, Hu, Maslov, Shaydulin. This plugin name is :``clifford.default`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" decomposition = synth_clifford_full(high_level_object) return decomposition class AGSynthesisClifford(HighLevelSynthesisPlugin): """Clifford synthesis plugin based on the Aaronson-Gottesman method. This plugin name is :``clifford.ag`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" decomposition = synth_clifford_ag(high_level_object) return decomposition class BMSynthesisClifford(HighLevelSynthesisPlugin): """Clifford synthesis plugin based on the Bravyi-Maslov method. The plugin is named The method only works on Cliffords with at most 3 qubits, for which it constructs the optimal CX cost decomposition. This plugin name is :``clifford.bm`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" if high_level_object.num_qubits <= 3: decomposition = synth_clifford_bm(high_level_object) else: decomposition = None return decomposition class GreedySynthesisClifford(HighLevelSynthesisPlugin): """Clifford synthesis plugin based on the greedy synthesis Bravyi-Hu-Maslov-Shaydulin method. This plugin name is :``clifford.greedy`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" decomposition = synth_clifford_greedy(high_level_object) return decomposition class LayerSynthesisClifford(HighLevelSynthesisPlugin): """Clifford synthesis plugin based on the Bravyi-Maslov method to synthesize Cliffords into layers. This plugin name is :``clifford.layers`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" decomposition = synth_clifford_layers(high_level_object) return decomposition class LayerLnnSynthesisClifford(HighLevelSynthesisPlugin): """Clifford synthesis plugin based on the Bravyi-Maslov method to synthesize Cliffords into layers, with each layer synthesized adhering to LNN connectivity. This plugin name is :``clifford.lnn`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Clifford.""" decomposition = synth_clifford_depth_lnn(high_level_object) return decomposition class DefaultSynthesisLinearFunction(HighLevelSynthesisPlugin): """The default linear function synthesis plugin. This plugin name is :``linear_function.default`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given LinearFunction.""" decomposition = synth_cnot_count_full_pmh(high_level_object.linear) return decomposition class KMSSynthesisLinearFunction(HighLevelSynthesisPlugin): """Linear function synthesis plugin based on the Kutin-Moulton-Smithline method. This plugin name is :``linear_function.kms`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given LinearFunction.""" decomposition = synth_cnot_depth_line_kms(high_level_object.linear) return decomposition class PMHSynthesisLinearFunction(HighLevelSynthesisPlugin): """Linear function synthesis plugin based on the Patel-Markov-Hayes method. This plugin name is :``linear_function.pmh`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given LinearFunction.""" decomposition = synth_cnot_count_full_pmh(high_level_object.linear) return decomposition class KMSSynthesisPermutation(HighLevelSynthesisPlugin): """The permutation synthesis plugin based on the Kutin, Moulton, Smithline method. This plugin name is :``permutation.kms`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Permutation.""" decomposition = synth_permutation_depth_lnn_kms(high_level_object.pattern) return decomposition class BasicSynthesisPermutation(HighLevelSynthesisPlugin): """The permutation synthesis plugin based on sorting. This plugin name is :``permutation.basic`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Permutation.""" decomposition = synth_permutation_basic(high_level_object.pattern) return decomposition class ACGSynthesisPermutation(HighLevelSynthesisPlugin): """The permutation synthesis plugin based on the Alon, Chung, Graham method. This plugin name is :``permutation.acg`` which can be used as the key on an :class:`~.HLSConfig` object to use this method with :class:`~.HighLevelSynthesis`. """ def run(self, high_level_object, **options): """Run synthesis for the given Permutation.""" decomposition = synth_permutation_acg(high_level_object.pattern) return decomposition