Qiro bug fix

src/qrisp/algorithms/qiro/qiroproblems/qiroMaxClique.py

@@ -23,7 +23,7 @@
 from qrisp.algorithms.qiro.qiroproblems.qiro_utils import * 
 
 
-def create_max_clique_replacement_routine(res, graph, solutions, exclusions):
+def create_max_clique_replacement_routine(res, graph, solutions=[], exclusions=[]):
     """
     Creates a replacement routine for the problem structure, i.e., defines the replacement rules. 
     See the `original paper <https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.5.020327>`_ for a description of the update rules.
@@ -56,7 +56,10 @@ def create_max_clique_replacement_routine(res, graph, solutions, exclusions):
     orig_nodes = list(graph.nodes())
 
     #get the max_edge and eval the sum and sign
+
     max_item, sign = find_max(orig_nodes, orig_edges , res, solutions)
+    if max_item == None:
+        return graph, solutions, 0 ,exclusions
 
     new_graph = copy.deepcopy(graph)
 

src/qrisp/algorithms/qiro/qiroproblems/qiroMaxIndepSet.py

@@ -57,8 +57,10 @@ def create_max_indep_replacement_routine(res, graph, solutions=[], exclusions=[]
     # for single qubit correlations
     orig_nodes = list(graph.nodes())
 
-    max_item = []
+
     max_item, sign = find_max(orig_nodes, orig_edges , res, solutions)
+    if max_item == None:
+        return graph, solutions, 0 ,exclusions
 
     # create a copy of the graph
     new_graph = copy.deepcopy(graph)
@@ -125,56 +127,4 @@ def cost_operator(qv, gamma):
 
 
 
-""" def create_maxIndep_mixer_reduced(graph, solutions):
-
-    def RX_mixer(qv, beta):
-
-        from qrisp import rx
-        for i in graph.nodes():
-            if not i in solutions:
-                rx(2 * beta, qv[i])
-    return RX_mixer
 
-
-def init_function_reduced(graph, solutions):
-
-    def init_state(qv):
-        from qrisp import h
-        for i in graph.nodes():
-            if not i in solutions:
-                h(qv[i])
-        for i in solutions:
-            x(qv[i])
-    return init_state
-
-
-
-#TODO:
-def create_maxIndep_cl_cost_function_reduced(graph):
-
-        #btw alternative formulation: for edge: check if string[edge[0]] != string[edge[1]] 
-    def aClcostFct(res_dic):
-        tot_energy = 0.001
-        tot_counts = 0
-        for state in res_dic.keys():
-            # we assume solution is right
-            temp = True
-            energy = 0 
-            for edge in graph.edges():
-                if not state[edge[0]] != state[edge[1]]:
-                    temp = False 
-
-            # else we just add the number of marked as |1> nodes
-            if temp: 
-                intlist = [s for s in range(len(list(state))) if list(state)[s] == "1"]
-                energy = -len(intlist)
-
-            tot_energy += energy * res_dic[state]
-            tot_counts += res_dic[state]
-
-        #print(tot_energy/tot_counts)
-
-        return tot_energy/tot_counts
-
-    return aClcostFct 
-"""

src/qrisp/algorithms/qiro/qiroproblems/qiroMaxSat.py

@@ -25,7 +25,7 @@
 from qrisp.algorithms.qiro.qiroproblems.qiro_utils import * 
 
 
-def create_maxsat_replacement_routine(res, problem, solutions, exclusions):
+def create_maxsat_replacement_routine(res, problem, solutions=[], exclusions=[]):
     """
     Creates a replacement routine for the problem structure, i.e., defines the replacement rules. 
     See the `original paper <https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.5.020327>`_ for a description of the update rules.
@@ -69,6 +69,8 @@ def create_maxsat_replacement_routine(res, problem, solutions, exclusions):
 
 
     max_item, sign = find_max(orig_nodes, combinations, res, solutions)
+    if max_item == None:
+        return problem, solutions, 0 ,exclusions
 
     # we just directly remove clauses from clauses
     if isinstance(max_item, int):

src/qrisp/algorithms/qiro/qiroproblems/qiro_utils.py

@@ -41,6 +41,8 @@ def find_max(single_cor, double_cor, res, solutions):
     """
 
     max = 0
+    max_item = None
+    sign = None
 
     for item2 in double_cor:
         if abs(item2[0]) == abs(item2[1]):

src/qrisp/examples/QIROMaxCliqueExample.py

@@ -2,9 +2,7 @@
 from qrisp import QuantumVariable
 import matplotlib.pyplot as plt
 import networkx as nx
-from qrisp.qiro import QIROProblem, qiro_init_function, qiro_RXMixer, create_maxClique_cost_operator_reduced, create_maxClique_replacement_routine
-from qrisp.qaoa import QAOAProblem,  RX_mixer, maxCliqueCostfct, maxCliqueCostOp
-
+from qrisp.algorithms.qiro import * 
 
 # First we define a graph via the number of nodes and the QuantumVariable arguments
 num_nodes = 15
@@ -20,15 +18,15 @@
     }
 
 #assign cost_function and maxclique_instance, normal QAOA
-testCostFun = maxCliqueCostfct(Gtwo)
-maxclique_instance = QAOAProblem(maxCliqueCostOp(G), RX_mixer, maxCliqueCostfct(G))
+testCostFun = create_max_clique_cl_cost_function(Gtwo)
+maxclique_instance = QAOAProblem(create_max_indep_set_mixer(G), RX_mixer, create_max_clique_cl_cost_function(G))
 
 # assign the correct new update functions for qiro from above imports
 qiro_instance = QIROProblem(problem = Gtwo,  
-                            replacement_routine = create_maxClique_replacement_routine, 
-                            cost_operator = create_maxClique_cost_operator_reduced,
+                            replacement_routine = create_max_clique_replacement_routine, 
+                            cost_operator = create_max_clique_cost_operator_reduced,
                             mixer = qiro_RXMixer,
-                            cl_cost_function = maxCliqueCostfct,
+                            cl_cost_function = create_max_clique_cl_cost_function,
                             init_function = qiro_init_function
                             )
 

src/qrisp/examples/QIROMaxIndepExample.py

@@ -1,6 +1,5 @@
 # imports 
-from qrisp.qaoa.problems.maxIndepSetInfrastr import maxIndepSetclCostfct, maxIndepSetCostOp
-from qrisp.qiro import QIROProblem, qiro_init_function, qiro_RXMixer, create_maxIndep_replacement_routine, create_maxIndep_cost_operator_reduced
+from qrisp.algorithms.qiro import * 
 from qrisp import QuantumVariable
 import networkx as nx
 
@@ -17,12 +16,12 @@
     }
 
 # assign the correct new update functions for qiro from above imports
-qiro_instance = QIROProblem(G, 
-                            replacement_routine=create_maxIndep_replacement_routine, 
-                            cost_operator= create_maxIndep_cost_operator_reduced,
-                            mixer= qiro_RXMixer,
-                            cl_cost_function= maxIndepSetclCostfct,
-                            init_function= qiro_init_function
+qiro_instance = QIROProblem(G,
+                            replacement_routine=create_max_indep_replacement_routine,
+                            cost_operator=create_max_indep_cost_operator_reduced,
+                            mixer=qiro_RXMixer,
+                            cl_cost_function=create_max_indep_set_cl_cost_function,
+                            init_function=qiro_init_function
                             )
 
 # We run the qiro instance and get the results!
@@ -33,7 +32,7 @@
 # Lets see what the 5 best results are
 print("QIRO 5 best results")
 maxfive = sorted(res_qiro, key=res_qiro.get, reverse=True)[:5]
-costFunc = maxIndepSetclCostfct(G)
+costFunc = create_max_indep_set_cl_cost_function(G)
 for key, val in res_qiro.items():  
     if key in maxfive:
 

src/qrisp/examples/QIROMaxSetPackTrafoToMIS.py

@@ -1,6 +1,4 @@
-
-from qrisp.qaoa.problems.maxIndepSetInfrastr import maxIndepSetclCostfct, maxIndepSetCostOp
-from qrisp.qiro import QIROProblem, trafo_maxPackToMIS, qiro_init_function, qiro_RXMixer, create_maxIndep_replacement_routine, create_maxIndep_cost_operator_reduced
+from qrisp.algorithms.qiro import * 
 from qrisp import QuantumVariable
 import networkx as nx
 
@@ -27,7 +25,7 @@
 problem = [sol, sets]
 print(sets)
 
-G = trafo_maxPackToMIS(problem=problem)
+G = transform_max_set_pack_to_mis(problem=problem)
 qarg = QuantumVariable(G.number_of_nodes())
 
 # set simulator shots
@@ -37,12 +35,12 @@
     }
 
 # assign the correct new update functions for qiro from above imports
-qiro_instance = QIROProblem(G, 
-                            replacement_routine=create_maxIndep_replacement_routine, 
-                            cost_operator= create_maxIndep_cost_operator_reduced,
-                            mixer= qiro_RXMixer,
-                            cl_cost_function= maxIndepSetclCostfct,
-                            init_function= qiro_init_function
+qiro_instance = QIROProblem(G,
+                            replacement_routine=create_max_indep_replacement_routine,
+                            cost_operator=create_max_indep_cost_operator_reduced,
+                            mixer=qiro_RXMixer,
+                            cl_cost_function=create_max_indep_set_cl_cost_function,
+                            init_function=qiro_init_function
                             )
 
 # We run the qiro instance and get the results!
@@ -53,7 +51,7 @@
 # Lets see what the 5 best results are
 print("QIRO 5 best results")
 maxfive = sorted(res_qiro, key=res_qiro.get, reverse=True)[:5]
-costFunc = maxIndepSetclCostfct(G)
+costFunc = create_max_indep_set_cl_cost_function(G)
 for key, val in res_qiro.items():  
     if key in maxfive: