"""\********************************************************************************* Copyright (c) 2024 the Qrisp authors** This program and the accompanying materials are made available under the* terms of the Eclipse Public License 2.0 which is available at* http://www.eclipse.org/legal/epl-2.0.** This Source Code may also be made available under the following Secondary* Licenses when the conditions for such availability set forth in the Eclipse* Public License, v. 2.0 are satisfied: GNU General Public License, version 2* with the GNU Classpath Exception which is* available at https://www.gnu.org/software/classpath/license.html.** SPDX-License-Identifier: EPL-2.0 OR GPL-2.0 WITH Classpath-exception-2.0********************************************************************************/"""fromqrisp.algorithms.qaoa.problems.maxIndepSetimportcreate_max_indep_set_cl_cost_function,create_max_indep_set_mixer,max_indep_set_init_functionimportnetworkxasnximportitertools
[docs]defcreate_max_clique_cl_cost_function(G):""" Creates the classical cost function for an instance of the maximum clique problem for a given graph ``G``. Parameters ---------- G : nx.Graph The Graph for the problem instance. Returns ------- cl_cost_function : function The classical cost function for the problem instance, which takes a dictionary of measurement results as input. """defcl_cost_function(res_dic):cost=0forstate,probinres_dic.items():temp=Trueindices=[indexforindex,valueinenumerate(state)ifvalue=='1']combinations=list(itertools.combinations(indices,2))forcombinationincombinations:ifcombinationnotinG.edges():temp=Falsebreakiftemp:cost+=-len(indices)*probreturncostreturncl_cost_function
[docs]defmax_clique_problem(G):""" Creates a QAOA problem instance with appropriate phase separator, mixer, and classical cost function. Parameters ---------- G : nx.Graph The graph for the problem instance. Returns ------- :ref:`QAOAProblem` A QAOA problem instance for MaxClique for a given graph ``G``. """fromqrisp.qaoaimportQAOAProblem,RZ_mixerG_complement=nx.complement(G)returnQAOAProblem(cost_operator=RZ_mixer,mixer=create_max_indep_set_mixer(G_complement),cl_cost_function=create_max_indep_set_cl_cost_function(G_complement),init_function=max_indep_set_init_function)
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