diff --git a/local_cliffords.py b/clifford.py similarity index 100% rename from local_cliffords.py rename to clifford.py diff --git a/graph.py b/graph.py index 6931333..a940e71 100644 --- a/graph.py +++ b/graph.py @@ -1,6 +1,5 @@ import networkx as nx from matplotlib import pyplot as plt -from vops import * class Graph(object): diff --git a/graphstate.py b/graphstate.py deleted file mode 100644 index 735ee05..0000000 --- a/graphstate.py +++ /dev/null @@ -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() diff --git a/loc_cliff_table.py b/loc_cliff_table.py deleted file mode 100644 index 03b8f2e..0000000 --- a/loc_cliff_table.py +++ /dev/null @@ -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]))) - - - diff --git a/tests/test_local_cliffords.py b/tests/test_clifford.py similarity index 91% rename from tests/test_local_cliffords.py rename to tests/test_clifford.py index 7992b7a..27a0357 100644 --- a/tests/test_local_cliffords.py +++ b/tests/test_clifford.py @@ -1,4 +1,4 @@ -import local_cliffords as lc +import clifford as lc from numpy import * def test_identify_pauli(): diff --git a/vops.py b/vops.py deleted file mode 100644 index 73c2dfa..0000000 --- a/vops.py +++ /dev/null @@ -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 -