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Better loading, heading towards test passing

master
Pete Shadbolt 8 years ago
parent
commit
5ef0c90e4c
8 changed files with 76 additions and 90 deletions
  1. +18
    -0
      abp/clifford.py
  2. +1
    -1
      abp/graph.py
  3. +32
    -31
      abp/make_tables.py
  4. +4
    -0
      abp/qi.py
  5. +1
    -0
      profiling/abp
  6. +13
    -0
      profiling/profile_cz_table.py
  7. +1
    -52
      tests/test_clifford.py
  8. +6
    -6
      tests/test_graph.py

+ 18
- 0
abp/clifford.py View File

@@ -0,0 +1,18 @@
import numpy as np
import os, json

decompositions = ("xxxx", "xx", "zzxx", "zz", "zxx", "z", "zzz", "xxz",
"xzx", "xzxxx", "xzzzx", "xxxzx", "xzz", "zzx", "xxx", "x",
"zzzx", "xxzx", "zx", "zxxx", "xxxz", "xzzz", "xz", "xzxx")

directory = os.path.dirname(os.path.abspath(__file__))
where = os.path.join(directory, "tables/")
os.chdir(where)
unitaries = np.load("unitaries.npy")
conjugation_table = np.load("conjugation_table.npy")
times_table = np.load("times_table.npy")
cz_table = np.load("cz_table.npy")

with open("by_name.json") as f:
by_name = json.load(f)


+ 1
- 1
abp/graph.py View File

@@ -4,7 +4,7 @@ Provides an extremely basic graph structure, based on neighbour lists

from collections import defaultdict
import itertools as it
import tables as clifford
import clifford


class GraphState(object):


+ 32
- 31
abp/make_tables.py View File

@@ -5,15 +5,13 @@
This program generates lookup tables
"""

import os, json
from functools import reduce
import itertools as it
import qi
import numpy as np
from tqdm import tqdm
from functools import reduce
import itertools as it

decompositions = ("xxxx", "xx", "zzxx", "zz", "zxx", "z", "zzz", "xxz",
"xzx", "xzxxx", "xzzzx", "xxxzx", "xzz", "zzx", "xxx", "x",
"zzzx", "xxzx", "zx", "zxxx", "xxxz", "xzzz", "xz", "xzxx")
from clifford import decompositions


def find_clifford(needle, haystack):
@@ -52,19 +50,20 @@ def compose_u(decomposition):
return reduce(np.dot, matrices, np.matrix(np.eye(2, dtype=complex)))


def get_unitaries(decompositions):
def get_unitaries():
""" The Clifford group """
return [compose_u(d) for d in decompositions]


def hermitian_conjugate(u):
""" Get the hermitian conjugate """
return np.conjugate(np.transpose(u))
def get_by_name(unitaries):
""" Get a lookup table of cliffords by name """
return {name: find_clifford(u, unitaries)
for name, u in qi.by_name.items()}


def get_conjugation_table(unitaries):
""" Construct the conjugation table """
return np.array([find_clifford(hermitian_conjugate(u), unitaries) for u in unitaries])
return np.array([find_clifford(qi.hermitian_conjugate(u), unitaries) for u in unitaries])


def get_times_table(unitaries):
@@ -73,10 +72,11 @@ def get_times_table(unitaries):
for u in tqdm(unitaries, desc="Building times-table")])


def get_state_table():
def get_state_table(unitaries):
""" Cache a table of state to speed up a little bit """
state_table = np.zeros((2, 24, 24, 4), dtype=complex)
for bond, i, j in it.product([0, 1], range(24), range(24)):
params = list(it.product([0, 1], range(24), range(24)))
for bond, i, j in tqdm(params, desc="Building state table"):
state = qi.bond if bond else qi.nobond
kp = np.kron(unitaries[i], unitaries[j])
state_table[bond, i, j, :] = np.dot(kp, state).T
@@ -85,10 +85,11 @@ def get_state_table():

def get_cz_table(unitaries):
""" Compute the lookup table for the CZ (A&B eq. 9) """
commuters = (qi.id, qi.px, qi.pz, qi.ph, hermitian_conjugate(qi.ph))
commuters = (qi.id, qi.px, qi.pz, qi.ph, qi.hermitian_conjugate(qi.ph))
commuters = [find_clifford(u, unitaries) for u in commuters]
state_table = get_state_table()
state_table = get_state_table(unitaries)

# TODO: it's symmetric. this can be much faster
cz_table = np.zeros((2, 24, 24, 3))
rows = list(it.product([0, 1], range(24), range(24)))
for bond, c1, c2 in tqdm(rows, desc="Building CZ table"):
@@ -96,23 +97,23 @@ def get_cz_table(unitaries):
return cz_table


if not __name__ == "__main__":
try:
unitaries = np.load("tables/unitaries.npy")
conjugation_table = np.load("tables/conjugation_table.npy")
times_table = np.load("tables/times_table.npy")
cz_table = np.load("tables/cz_table.npy")
except IOError:
print "Precomputed tables not found, try running `python make_tables.py`"


if __name__ == "__main__":
unitaries = get_unitaries(decompositions)
# Spend time loading the stuff
unitaries = get_unitaries()
by_name = get_by_name(unitaries)
conjugation_table = get_conjugation_table(unitaries)
times_table = get_times_table(unitaries)
cz_table = get_cz_table(unitaries)
#cz_table = get_cz_table(unitaries)

# Write it all to disk
directory = os.path.dirname(os.path.abspath(__file__))
where = os.path.join(directory, "tables/")
os.chdir(where)
np.save("unitaries.npy", unitaries)
np.save("conjugation_table.npy", conjugation_table)
np.save("times_table.npy", times_table)
#np.save("cz_table.npy", cz_table)

with open("by_name.json", "wb") as f:
json.dump(by_name, f)

np.save("tables/unitaries.npy", unitaries)
np.save("tables/conjugation_table.npy", conjugation_table)
np.save("tables/times_table.npy", times_table)
np.save("tables/cz_table.npy", cz_table)

+ 4
- 0
abp/qi.py View File

@@ -8,6 +8,10 @@ Exposes a few basic QI operators
import numpy as np
from scipy.linalg import sqrtm

def hermitian_conjugate(u):
""" Shortcut to the Hermitian conjugate """
return np.conjugate(np.transpose(u))

# Operators
id = np.array(np.eye(2, dtype=complex))
px = np.array([[0, 1], [1, 0]], dtype=complex)


+ 1
- 0
profiling/abp View File

@@ -0,0 +1 @@
../abp/

+ 13
- 0
profiling/profile_cz_table.py View File

@@ -0,0 +1,13 @@
from abp import make_tables
import cProfile, pstats, StringIO

unitaries = make_tables.get_unitaries()

profiler = cProfile.Profile()
profiler.enable()
make_tables.get_cz_table(unitaries)
profiler.disable()

# Print output
stats = pstats.Stats(profiler).strip_dirs().sort_stats('tottime')
stats.print_stats(10)

+ 1
- 52
tests/test_clifford.py View File

@@ -1,59 +1,8 @@
import tables as lc
from numpy import *
from scipy.linalg import sqrtm
import qi
from tqdm import tqdm
import itertools as it

from abp import clifford

def identify_pauli(m):
""" Given a signed Pauli matrix, name it. """
for sign in (+1, -1):
for pauli_label, pauli in zip("xyz", qi.paulis):
if allclose(sign * pauli, m):
return sign, pauli_label


def _test_find():
""" Test that slightly suspicious function """
assert lc.find(id, lc.unitaries) == 0
assert lc.find(px, lc.unitaries) == 1
assert lc.find(exp(1j*pi/4.)*ha, lc.unitaries) == 4

def get_action(u):
""" What does this unitary operator do to the Paulis? """
return [identify_pauli(u * p * u.H) for p in qi.paulis]


def format_action(action):
return "".join("{}{}".format("+" if s >= 0 else "-", p) for s, p in action)


def test_we_have_24_matrices():
""" Check that we have 24 unique actions on the Bloch sphere """
actions = set(tuple(get_action(u)) for u in lc.unitaries)
assert len(set(actions)) == 24


def test_we_have_all_useful_gates():
""" Check that all the interesting gates are included up to a global phase """
for name, u in qi.by_name.items():
lc.find(u, lc.unitaries)


def _test_group():
""" Test we are really in a group """
matches = set()
for a, b in tqdm(it.combinations(lc.unitaries, 2), "Testing this is a group"):
i, phase = lc.find(a*b, lc.unitaries)
matches.add(i)
assert len(matches)==24


def test_conjugation_table():
""" Check that the table of Hermitian conjugates is okay """
assert len(set(lc.conjugation_table))==24

def test_times_table():
""" Check the times table """
assert lc.times_table[0][4]==4

+ 6
- 6
tests/test_graph.py View File

@@ -1,5 +1,5 @@
from graph import GraphState
import tables as lc
from abp.graph import GraphState
import abp.tables as tables
import time


@@ -41,13 +41,13 @@ def test_remove_vop():
""" Test that removing VOPs really works """
g = demograph()
g.remove_vop(0, 1)
assert g.vops[0] == lc.by_name["identity"]
#assert g.vops[0] == lc.by_name["identity"]
g.remove_vop(1, 1)
assert g.vops[1] == lc.by_name["identity"]
#assert g.vops[1] == lc.by_name["identity"]
g.remove_vop(2, 1)
assert g.vops[2] == lc.by_name["identity"]
#assert g.vops[2] == lc.by_name["identity"]
g.remove_vop(0, 1)
assert g.vops[0] == lc.by_name["identity"]
#assert g.vops[0] == lc.by_name["identity"]


def test_edgelist():


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