Feature nqubit fogi

pygsti/baseobjs/errorgenbasis.py

@@ -27,9 +27,9 @@ class ElementaryErrorgenBasis(object):
     Intersection and union can be performed as a set.
     """
 
-    def label_indices(self, labels):
+    def label_indices(self, labels, ok_if_missing=False):
         """ TODO: docstring """
-        return [self.label_index(lbl) for lbl in labels]
+        return [self.label_index(lbl, ok_if_missing) for lbl in labels]
 
     def __len__(self):
         """ Number of elementary errorgen elements in this basis """
@@ -46,7 +46,7 @@ def __init__(self, state_space, labels, basis1q=None):
 
         self.state_space = state_space
         assert(self.state_space.is_entirely_qubits), "FOGI only works for models containing just qubits (so far)"
-        sslbls = self.state_space.tensor_product_block_labels(0)  # all the model's state space labels
+        sslbls = self.state_space.sole_tensor_product_block_labels  # all the model's state space labels
         self.sslbls = sslbls  # the "support" of this space - the qubit labels
         self._cached_elements = None
 
@@ -64,10 +64,14 @@ def elemgen_supports_and_matrices(self):
                  for elemgen_label in self.labels))
         return self._cached_elements
 
-    def label_index(self, label):
+    def label_index(self, label, ok_if_missing=False):
         """
         TODO: docstring
+        ok_if_missing : bool
+           If True, then returns `None` instead of an integer when the given label is not present.
         """
+        if ok_if_missing and label not in self._label_indices:
+            return None
         return self._label_indices[label]
 
     #@property
@@ -231,7 +235,7 @@ def _create_ordered_labels(cls, type_str, basis_1q, state_space,
 
         if max_weight is None:
             assert(state_space.is_entirely_qubits), "FOGI only works for models containing just qubits (so far)"
-            sslbls = state_space.tensor_product_block_labels(0)  # all the model's state space labels
+            sslbls = state_space.sole_tensor_product_block_labels  # all the model's state space labels
             max_weight = len(sslbls)
 
         # Let k be len(nontrivial_bels)
@@ -292,7 +296,7 @@ def _create_ordered_label_offsets(cls, type_str, basis_1q, state_space,
 
         if max_weight is None:
             assert(state_space.is_entirely_qubits), "FOGI only works for models containing just qubits (so far)"
-            sslbls = state_space.tensor_product_block_labels(0)  # all the model's state space labels
+            sslbls = state_space.sole_tensor_product_block_labels  # all the model's state space labels
             max_weight = len(sslbls)
 
         # Let k be len(nontrivial_bels)
@@ -366,7 +370,7 @@ def __init__(self, basis_1q, state_space, elementary_errorgen_types=('H', 'S', '
 
         #Note: state space can have additional labels that aren't in support
         # (this is, I think, only true when must_overlap_with_these_sslbls != None)
-        sslbls = self.state_space.tensor_product_block_labels(0)  # all the model's state space labels
+        sslbls = self.state_space.sole_tensor_product_block_labels  # all the model's state space labels
 
         if set(sslbls) == present_sslbls:
             self.sslbls = sslbls  # the "support" of this space - the qubit labels
@@ -421,6 +425,15 @@ def labels(self):
                                                       self._must_overlap_with_these_sslbls))
         return tuple(labels)
 
+    @property
+    def elemgen_supports_and_dual_matrices(self):
+        return tuple(((elemgen_label.sslbls,
+                       _ot.create_elementary_errorgen_nqudit_dual(
+                           elemgen_label.errorgen_type, elemgen_label.basis_element_labels,
+                           self._basis_1q, normalize=False, sparse=False,
+                           tensorprod_basis=True))  # Note: normalize was set to True...
+                      for elemgen_label in self.labels))
+
     @property
     def elemgen_supports_and_matrices(self):
         return tuple(((elemgen_label.sslbls,
@@ -430,24 +443,34 @@ def elemgen_supports_and_matrices(self):
                            tensorprod_basis=True))  # Note: normalize was set to True...
                       for elemgen_label in self.labels))
 
-    def label_index(self, elemgen_label):
+    def label_index(self, elemgen_label, ok_if_missing=False):
         """
         TODO: docstring
+        ok_if_missing : bool
+           If True, then returns `None` instead of an integer when the given label is not present.
         """
         support = elemgen_label.sslbls
         eetype = elemgen_label.errorgen_type
         bels = elemgen_label.basis_element_labels
         trivial_bel = self._basis_1q.labels[0]  # assumes first element is identity
         nontrivial_bels = self._basis_1q.labels[1:]
 
+        if ok_if_missing and eetype not in self._offsets:
+            return None
+
         if eetype in ('H', 'S'):
+            if ok_if_missing and support not in self._offsets[eetype]:
+                return None
             base = self._offsets[eetype][support]
             indices = {lbl: i for i, lbl in enumerate(self._create_diag_labels_for_support(support, eetype,
                                                                                            nontrivial_bels))}
         elif eetype in ('C', 'A'):
             assert(len(trivial_bel) == 1)  # assumes this is a single character
             nontrivial_inds = [i for i, letter in enumerate(bels[0]) if letter != trivial_bel]
             left_support = tuple([self.sslbls[i] for i in nontrivial_inds])
+
+            if ok_if_missing and (support, left_support) not in self._offsets[eetype]:
+                return None
             base = self._offsets[eetype][(support, left_support)]
 
             indices = {lbl: i for i, lbl in enumerate(self._create_uptriangle_labels_for_support(
@@ -509,7 +532,7 @@ def difference(self, other_basis):
 #        self._must_overlap_with_these_sslbls = must_overlap_with_these_sslbls
 #
 #        assert(self.state_space.is_entirely_qubits), "FOGI only works for models containing just qubits (so far)"
-#        sslbls = self.state_space.tensor_product_block_labels(0)  # all the model's state space labels
+#        sslbls = self.state_space.sole_tensor_product_block_labels  # all the model's state space labels
 #        self.sslbls = sslbls  # the "support" of this space - the qubit labels
 #
 #        self._cached_label_indices = None

pygsti/baseobjs/errorgenlabel.py

@@ -119,7 +119,11 @@ def cast(cls, obj, sslbls=None, identity_label='I'):
         else:
             raise ValueError("Cannot convert %s to a global elementary errorgen label!" % str(obj))
 
-    def __init__(self, errorgen_type, basis_element_labels, sslbls):
+    def __init__(self, errorgen_type, basis_element_labels, sslbls, sort=True):
+        if sort:
+            sorted_indices, sslbls = zip(*sorted(enumerate(sslbls), key=lambda x: x[1]))
+            basis_element_labels = [''.join([bel[i] for i in sorted_indices]) for bel in basis_element_labels]
+
         self.errorgen_type = str(errorgen_type)
         self.basis_element_labels = tuple(basis_element_labels)
         self.sslbls = tuple(sslbls)
@@ -183,3 +187,38 @@ def padded_basis_element_labels(self, all_sslbls, identity_label='I'):
                 lbl[i] = char
             ret.append(''.join(lbl))
         return tuple(ret)
+
+    def map_state_space_labels(self, mapper):
+        """
+        Creates a new GlobalElementaryErrorgenLabel whose `sslbls` attribute is updated according to a mapping function.
+
+        Parameters
+        ----------
+        mapper : dict or function
+            A dictionary whose keys are the existing `self.sslbls` values
+            and whose value are the new labels, or a function which takes a
+            single existing state space label argument and returns a new state
+            space label to replace it with.
+
+        Returns
+        -------
+        GlobalElementaryErrorgenLabel
+        """
+        def mapper_func(sslbl): return mapper[sslbl] \
+            if isinstance(mapper, dict) else mapper(sslbl)
+        mapped_sslbls = tuple(map(mapper_func, self.sslbls))
+        return GlobalElementaryErrorgenLabel(self.errorgen_type, self.basis_element_labels, mapped_sslbls)
+
+    def sort_sslbls(self):
+        """
+        Creates a new GlobalElementaryErrorgenLabel with sorted (potentially reordered) state space labels.
+
+        This puts the label into a canonical form that can be useful for comparison with other labels.
+
+        Returns
+        -------
+        GlobalElementaryErrorgenLabel
+        """
+        sorted_indices, sorted_sslbls = zip(*sorted(enumerate(self.sslbls), key=lambda x: x[1]))
+        sorted_bels = [''.join([bel[i] for i in sorted_indices]) for bel in self.basis_element_labels]
+        return GlobalElementaryErrorgenLabel(self.errorgen_type, sorted_bels, sorted_sslbls)

pygsti/baseobjs/errorgenspace.py

@@ -31,7 +31,7 @@ def __init__(self, vectors, basis):
         # map sslbls => (vectors, basis) where basis.sslbls == sslbls
         # or basis => vectors if bases can hash well(?)
 
-    def intersection(self, other_space, free_on_unspecified_space=False):
+    def intersection(self, other_space, free_on_unspecified_space=False, use_nice_nullspace=False):
         """
         TODO: docstring
         """
@@ -56,7 +56,7 @@ def intersection(self, other_space, free_on_unspecified_space=False):
             i += Wl
             VIWI[common_basis.label_indices(diff_other.labels), i:i + Wli] = _np.identity(Wli, dtype)
 
-            ns = _mt.nullspace(VIWI)
+            ns = _mt.nice_nullspace(VIWI) if use_nice_nullspace else _mt.nullspace(VIWI)
             intersection_vecs = _np.dot(VIWI[:, 0:(Vl + Vli)], ns[0:(Vl + Vli), :])  # on common_basis
 
         else:

pygsti/baseobjs/statespace.py

@@ -92,6 +92,18 @@ def num_tensor_product_blocks(self):
         """
         raise NotImplementedError("Derived classes should implement this!")
 
+    @property
+    def sole_tensor_product_block_labels(self):
+        """
+        The labels of the first and only tensor product block within this state space.
+
+        If there are multiple blocks, a ValueError is raised.
+        """
+        if self.num_tensor_product_blocks > 1:
+            raise ValueError(("Attribute `sole_tensor_product_block_labels` was used but this state space has"
+                              " %d blocks!") % self.num_tensor_product_blocks)
+        return self.tensor_product_block_labels(0)
+
     @property
     def tensor_product_blocks_labels(self):
         """

pygsti/circuits/__init__.py

@@ -16,5 +16,6 @@
     GermFiducialPairPlaquette, PlaquetteGridCircuitStructure
 
 from .circuitconstruction import *
+from .cloudcircuitconstruction import *
 from .gstcircuits import *
 # Unused: from rpecircuits import *