add predecoders

src/qiskit_qec/circuits/repetition_code.py

@@ -631,6 +631,9 @@ def _get_cycles(self):
         """
 
         self.link_graph = self._get_link_graph()
+        self.degree = {}
+        for n, q in enumerate(self.link_graph.nodes()):
+            self.degree[q] = self.link_graph.degree(n)
         lg_edges = set(self.link_graph.edge_list())
         lg_nodes = self.link_graph.nodes()
         ng = nx.Graph()
@@ -1649,3 +1652,64 @@ def get_error_coords(
             return error_coords, sample_coords
         else:
             return error_coords
+
+    def clean_code(self, string):
+        """
+        Given an output string of the code, obvious code qubit errors are identified and their effects
+        are removed.
+
+        Args:
+            string (str): Output string of the code.
+
+        Returns:
+            string (str): Modifed output string of the code.
+        """
+
+        # get the parities for the rounds and turn them into lists of integers
+        # (also turn them the right way around)
+        parities = []
+        for rstring in string.split(" ")[1:]:
+            parities.append([int(p) for p in rstring][::-1])
+        parities = parities[::-1]
+
+        # calculate the final parities from the final readout and add them on
+        final = string.split(" ")[0]
+        final_parities = [0] * self.num_qubits[1]
+        for c0, a, c1 in self.links:
+            final_parities[-self.link_index[a] - 1] = (
+                int(final[-self.code_index[c0] - 1]) + int(final[-self.code_index[c1] - 1])
+            ) % 2
+        parities.append(final_parities[::-1])
+
+        flips = {c: 0 for c in self.code_index}
+        for rparities in parities:
+            # see how many links around each code qubit detect a flip
+            link_count = {c: 0 for c in self.code_index}
+            for c0, a, c1 in self.links:
+                # we'll need to determine whether the as yet uncorrected parity
+                # checks from this round should be flipped, based on results
+                # from previous rounds
+                flip = (flips[c0] + flips[c1]) % 2
+                b = self.link_index[a]
+                for c in [c0, c1]:
+                    link_count[c] += (rparities[b] + flip) % 2
+            # if it's all of them, assume a flip
+            for c in link_count:
+                if link_count[c] == self.degree[c]:
+                    flips[c] = (flips[c] + 1) % 2
+            # modify the parities to remove the effect
+            for c0, a, c1 in self.links:
+                flip = (flips[c0] + flips[c1]) % 2
+                b = self.link_index[a]
+                rparities[b] = (rparities[b] + flip) % 2
+        # turn the results back into a string
+        new_string = ""
+        for rparities in parities[:-1][::-1]:
+            new_string += " " + "".join([str(p) for p in rparities][::-1])
+        final_string = [int(p) for p in string.split(" ", maxsplit=1)[0]]
+        for c, flip in flips.items():
+            b = self.code_index[c]
+            final_string[-b - 1] = (final_string[-b - 1] + flip) % 2
+        final_string = "".join([str(p) for p in final_string])
+
+        return final_string + new_string

src/qiskit_qec/decoders/__init__.py

@@ -34,4 +34,4 @@
 from .circuit_matching_decoder import CircuitModelMatchingDecoder
 from .repetition_decoder import RepetitionDecoder
 from .three_bit_decoder import ThreeBitDecoder
-from .hdrg_decoders import BravyiHaahDecoder, UnionFindDecoder, ClAYGDecoder
+from .hdrg_decoders import BravyiHaahDecoder, UnionFindDecoder

src/qiskit_qec/decoders/decoding_graph.py

@@ -66,6 +66,47 @@ def __init__(self, code, brute=False, graph=None):
             if node.is_boundary:
                 self._logical_nodes.append(node)
 
+        self.update_attributes()
+
+    def update_attributes(self):
+        """
+        Calculates properties of the graph used by `node_index` and `edge_in_graph`.
+        If `graph` is updated this method should called to update these properties.
+        """
+        self._edge_set = set(self.graph.edge_list())
+        self._node_index = {}
+        for n, node in enumerate(self.graph.nodes()):
+            clean_node = copy.deepcopy(node)
+            clean_node.properties = {}
+            self._node_index[clean_node] = n
+
+    def node_index(self, node):
+        """
+        Given a node of `graph`, returns the corrsponding index.
+
+        Args:
+            node (DecodingGraphNode): Node of the graph.
+
+        Returns:
+            n (int): Index corresponding to the node within the graph.
+        """
+        clean_node = copy.deepcopy(node)
+        clean_node.properties = {}
+        return self._node_index[clean_node]
+
+    def edge_in_graph(self, edge):
+        """
+        Given a pair of node indices for `graph`, determines whether
+        the edge exists within the graph.
+
+        Args:
+            edge (tuple): Pair of node indices for the graph.
+
+        Returns:
+            in_graph (bool): Whether the edge is within the graph.
+        """
+        return edge in self._edge_set
+
     def _make_syndrome_graph(self):
         if not self.brute and hasattr(self.code, "_make_syndrome_graph"):
             self.graph, self.hyperedges = self.code._make_syndrome_graph()
@@ -170,7 +211,7 @@ def get_error_probs(
                 error_nodes = set(self.code.string2nodes(string, logical=logical))
 
                 for node0 in error_nodes:
-                    n0 = self.graph.nodes().index(node0)
+                    n0 = self.node_index(node0)
                     av_v[n0] += counts[string]
                     for n1 in neighbours[n0]:
                         node1 = self.graph[n1]
@@ -341,15 +382,65 @@ def weight_fn(edge):
                 source = E[source_index]
                 target = E[target_index]
                 if target != source:
-                    ns = self.graph.nodes().index(source)
-                    nt = self.graph.nodes().index(target)
+                    ns = self.node_index(source)
+                    nt = self.node_index(target)
                     distance = distance_matrix[ns][nt]
                     if np.isfinite(distance):
                         qubits = list(set(source.qubits).intersection(target.qubits))
                         distance = int(distance)
                         E.add_edge(source_index, target_index, DecodingGraphEdge(qubits, distance))
         return E
 
+    def clean_measurements(self, nodes: List):
+        """
+        Removes pairs of nodes that obviously correspond to measurement errors
+        from a list of nodes.
+
+        Args:
+            nodes: A list of nodes.
+        Returns:
+            nodes: The input list of nodes, with pairs removed if they obviously
+            correspond to a measurement error.
+
+        """
+
+        # order the nodes by where and when
+        node_pos = {}
+        for node in nodes:
+            if not node.is_boundary:
+                if node.index not in node_pos:
+                    node_pos[node.index] = {}
+                node_pos[node.index][node.time] = self.node_index(node)
+        # find pairs corresponding to time-like edges
+        all_pairs = set()
+        for node_times in node_pos.values():
+            ts = list(node_times.keys())
+            ts.sort()
+            for j in range(len(ts) - 1):
+                if ts[j + 1] - ts[j] <= 2:
+                    n0 = node_times[ts[j]]
+                    n1 = node_times[ts[j + 1]]
+                    if self.edge_in_graph((n0, n1)) or self.edge_in_graph((n1, n0)):
+                        all_pairs.add((n0, n1))
+        # filter out those that share nodes
+        all_nodes = set()
+        common_nodes = set()
+        for pair in all_pairs:
+            for n in pair:
+                if n in all_nodes:
+                    common_nodes.add(n)
+                all_nodes.add(n)
+        paired_ns = set()
+        for pair in all_pairs:
+            if pair[0] not in common_nodes:
+                if pair[1] not in common_nodes:
+                    for n in pair:
+                        paired_ns.add(n)
+        # return the nodes that were not paired
+        ns = set(self.node_index(node) for node in nodes)
+        unpaired_ns = ns.difference(paired_ns)
+        return [self.graph.nodes()[n] for n in unpaired_ns]
+
 
 class CSSDecodingGraph:
     """