Fixed state vector test

qDNA-yonsei · Dec 30, 2023 · a81200b · a81200b
1 parent 63dbc60
commit a81200b
Showing 1 changed file with 25 additions and 0 deletions.
diff --git a/test/test_entanglement.py b/test/test_entanglement.py
@@ -65,3 +65,28 @@ def test_min_cut_heuristic_product_state(self):
         self.assertTrue(isclose(cut_weight, 0.0))
         self.assertTrue(np.allclose(sorted(set_a), [0, 1, 2]))
         self.assertTrue(np.allclose(sorted(set_b), [3, 4, 5]))
+
+    def test_min_cut_heuristic_fixed(self):
+        state_vector = [0.00000000e+00, 6.94991284e-04, 6.34061054e-02, 2.13286776e-01,
+                        2.05658826e-01, 8.15141431e-02, 8.40762648e-03, 0.00000000e+00,
+                        0.00000000e+00, 9.96282923e-03, 1.59787371e-01, 2.46020212e-01,
+                        2.40154124e-01, 1.88551405e-01, 1.90979862e-02, 0.00000000e+00,
+                        9.31053205e-04, 4.54430541e-02, 2.03018262e-01, 1.86283916e-01,
+                        1.52698965e-01, 1.86716850e-01, 3.98788754e-02, 0.00000000e+00,
+                        9.31053205e-04, 7.52123527e-02, 2.05815792e-01, 1.50703564e-01,
+                        1.29600833e-01, 1.44311684e-01, 7.06191583e-02, 0.00000000e+00,
+                        0.00000000e+00, 7.69075128e-02, 1.73599511e-01, 1.17960532e-01,
+                        1.25934109e-01, 1.33062442e-01, 8.39199837e-02, 0.00000000e+00,
+                        0.00000000e+00, 3.84563398e-02, 1.76000915e-01, 1.11207757e-01,
+                        1.36568022e-01, 1.59108898e-01, 6.19303017e-02, 0.00000000e+00,
+                        0.00000000e+00, 9.01723392e-03, 1.70193955e-01, 1.96598638e-01,
+                        2.21354420e-01, 1.95836976e-01, 4.14572396e-02, 6.39589243e-03,
+                        0.00000000e+00, 2.11959665e-04, 6.15966561e-02, 2.17282223e-01,
+                        2.49816212e-01, 1.27759885e-01, 2.73632167e-02, 1.20487999e-02]
+
+        graph = initialize_entanglement_graph(state_vector, 6)
+        (set_a, set_b), cut_weight = min_cut_fixed_size_heuristic(graph, 3, 3)
+
+        self.assertTrue(isclose(cut_weight, 0.0))
+        self.assertTrue(np.allclose(sorted(set_a), [0, 1, 2]))
+        self.assertTrue(np.allclose(sorted(set_b), [3, 4, 5]))