Tidy

graph.py

@@ -1,6 +1,5 @@
 import networkx as nx
 from matplotlib import pyplot as plt
-from vops import *
 
 class Graph(object):
 

graphstate.py

@@ -1,48 +0,0 @@
-import networkx as nx
-from matplotlib import pyplot as plt
-from vops import *
-
-class Graph(object):
-
-    def __init__(self, n):
-        self.vertices = [set() for i in xrange(n)]
-        self.vops = [hadamard for i in xrange(n)]
-
-    def add_edge(self, v1, v2):
-        self.vertices[v1].add(v2)
-        self.vertices[v2].add(v1)
-
-    def del_edge(self, v1, v2):
-        self.vertices[v1].remove(v2)
-        self.vertices[v2].remove(v1)
-
-    def edgelist(self):
-        edges = frozenset(frozenset((i, n))
-                for i, v in enumerate(self.vertices)
-                for n in v)
-        return [tuple(e) for e in edges]
-
-    def draw(self, filename="out.pdf"):
-        g = nx.from_edgelist(self.edgelist())
-        pos = nx.spring_layout(g)
-        nx.draw_networkx_nodes(g, pos, node_color="white", node_size=1000)
-        nx.draw_networkx_labels(g, pos)
-        nx.draw_networkx_edges(g, pos)
-        for i, vop in enumerate(self.vops):
-            if not i in pos: continue
-            x, y = pos[i]
-            plt.text(x, y+0.1, vops[vop], ha="center")
-
-        plt.axis('off')
-        plt.savefig(filename)
-
-if __name__ == '__main__':
-    g = Graph(10)
-    g.add_edge(0, 1)
-    g.add_edge(1, 3)
-    g.add_edge(3, 2)
-    g.add_edge(3, 0)
-    g.add_edge(2, 0)
-    print g.edgelist()
-
-    g.draw()

loc_cliff_table.py

@@ -1,31 +0,0 @@
-from numpy import *
-import json
-#json.load(open("anders_
-
-
-#i = matrix(eye(2, dtype=complex))
-#h = matrix([[1, 1], [1, -1]], dtype=complex) / sqrt(2)
-#p = matrix([[1, 0], [0, 1j]], dtype=complex)
-
-#s_set = [i, p, p*p, p*p*p]
-#s_names = ["i", "p", "pp", "ppp"]
-
-#c_set = [i, h, h*p, h*p*p, h*p*p*p, h*p*p*h]
-#c_names = ["i", "h", "hp", "hpp", "hppp", "hpph"]
-
-#names = []
-#matrices = []
-#for s, s_name in zip(s_set, s_names):
-    #for c, c_name in zip(c_set, c_names):
-        #names.append(s_name+c_name)
-        #matrices.append(s*c)
-
-#print " ".join(names)
-#print len(names)
-
-#for m in matrices:
-    # print (m/abs(amax(m))).round(0).reshape(4)
-    #print average(abs(array((m/abs(amax(m))).round(0).reshape(4).tolist()[0])))
-
-
-    

tests/test_local_cliffords.py → tests/test_clifford.py

@@ -1,4 +1,4 @@
-import local_cliffords as lc
+import clifford as lc
 from numpy import *
 
 def test_identify_pauli():

vops.py

@@ -1,14 +0,0 @@
-
-class LocCliffOp:
-    def __init__(self, op):
-        self.op = op
-        self.name = names[op]
-
-    def __str__(self):
-        return self.name
-
-
-if __name__ == '__main__':
-    l = LocCliffOp(0)
-    print l
-