def test_coupling_terms():
L = 4
sites = []
for i in range(L):
s = site.Site(spin_half.leg)
s.add_op("X_{i:d}".format(i=i), 2. * np.eye(2))
s.add_op("Y_{i:d}".format(i=i), 3. * np.eye(2))
sites.append(s)
strength1 = np.arange(0., 5)[:, np.newaxis] + np.arange(
0., 0.625, 0.125)[np.newaxis, :]
c1 = CouplingTerms(L)
for i, j in [(2, 3)]:
c1.add_coupling_term(strength1[i, j], i, j, "X_{i:d}".format(i=i),
"Y_{j:d}".format(j=j))
assert c1.max_range() == 3 - 2
for i, j in [(0, 1), (0, 3), (0, 2)]:
c1.add_coupling_term(strength1[i, j], i, j, "X_{i:d}".format(i=i),
"Y_{j:d}".format(j=j))
c1_des = {0: {('X_0', 'Id'): {1: {'Y_1': 0.125},
2: {'Y_2': 0.25},
3: {'Y_3': 0.375}}},
2: {('X_2', 'Id'): {3: {'Y_3': 2.375}}}} # yapf: disable
assert c1.coupling_terms == c1_des
c1._test_terms(sites)
assert c1.max_range() == 3 - 0
tl1 = c1.to_TermList()
term_list_des = [[('X_0', 0), ('Y_1', 1)], [('X_0', 0), ('Y_2', 2)],
[('X_0', 0), ('Y_3', 3)], [('X_2', 2), ('Y_3', 3)]]
assert tl1.terms == term_list_des
assert np.all(tl1.strength == [0.125, 0.25, 0.375, 2.375])
ot1, ct1_conv = tl1.to_OnsiteTerms_CouplingTerms(sites)
assert ot1.onsite_terms == [{}] * L
assert ct1_conv.coupling_terms == c1_des
mc = MultiCouplingTerms(L)
for i, j in [(2, 3)]: # exact same terms as c1
mc.add_coupling_term(strength1[i, j], i, j, "X_{i:d}".format(i=i),
"Y_{j:d}".format(j=j))
assert mc.max_range() == 3 - 2
for i, j in [(0, 1), (0, 3), (0, 2)]: # exact same terms as c1
mc.add_coupling_term(strength1[i, j], i, j, "X_{i:d}".format(i=i),
"Y_{j:d}".format(j=j))
assert mc.coupling_terms == c1_des
assert mc.max_range() == 3 - 0
mc.add_multi_coupling_term(20., [0, 1, 3], ['X_0', 'Y_1', 'Y_3'],
['Id', 'Id'])
mc.add_multi_coupling_term(30., [0, 1, 3], ['X_0', 'Y_1', 'Y_3'],
['S1', 'S2'])
mc.add_multi_coupling_term(40., [1, 2, 3], ['X_1', 'Y_2', 'Y_3'],
['Id', 'Id'])
mc_des = {0: {('X_0', 'Id'): {1: {'Y_1': 0.125,
('Y_1', 'Id'): {3: {'Y_3': 20.0}}},
2: {'Y_2': 0.25},
3: {'Y_3': 0.375}},
('X_0', 'S1'): {1: {('Y_1', 'S2'): {3: {'Y_3': 30.0}}}}},
1: {('X_1', 'Id'): {2: {('Y_2', 'Id'): {3: {'Y_3': 40.0}}}}},
2: {('X_2', 'Id'): {3: {'Y_3': 2.375}}}} # yapf: disable
assert mc.coupling_terms == mc_des
mc._test_terms(sites)
# convert to TermList
tl_mc = mc.to_TermList()
term_list_des = [
[('X_0', 0), ('Y_1', 1)],
[('X_0', 0), ('Y_1', 1), ('Y_3', 3)],
[('X_0', 0), ('Y_2', 2)],
[('X_0', 0), ('Y_3', 3)],
[('X_0', 0), ('Y_1', 1), ('Y_3', 3)], # (!) droppend S1, S2 (!)
[('X_1', 1), ('Y_2', 2), ('Y_3', 3)],
[('X_2', 2), ('Y_3', 3)]
]
assert tl_mc.terms == term_list_des
assert np.all(tl_mc.strength == [0.125, 20., 0.25, 0.375, 30., 40., 2.375])
ot, mc_conv = tl_mc.to_OnsiteTerms_CouplingTerms(sites)
assert ot1.onsite_terms == [{}] * L
del (mc_des[0])[('X_0', 'S1')] # conversion dropped the opstring names
mc_des[0][('X_0',
'Id')][1][('Y_1',
'Id')][3]['Y_3'] += 30. # add it to other term
assert mc_conv.coupling_terms == mc_des
# addition
c2 = CouplingTerms(L)
for i, j in [(0, 1), (1, 2)]:
c1.add_coupling_term(strength1[i, j], i, j, "X_{i:d}".format(i=i),
"Y_{j:d}".format(j=j))
c1 += c2
c1_des = {0: {('X_0', 'Id'): {1: {'Y_1': 0.25},
2: {'Y_2': 0.25},
3: {'Y_3': 0.375}}},
1: {('X_1', 'Id'): {2: {'Y_2': 1.25}}},
2: {('X_2', 'Id'): {3: {'Y_3': 2.375}}}} # yapf: disable
assert c1.coupling_terms == c1_des
c1._test_terms(sites)
mc += c1
mc_des = {0: {('X_0', 'Id'): {1: {'Y_1': 0.375,
('Y_1', 'Id'): {3: {'Y_3': 20.0}}},
2: {'Y_2': 0.5},
3: {'Y_3': 0.75}},
('X_0', 'S1'): {1: {('Y_1', 'S2'): {3: {'Y_3': 30.0}}}}},
1: {('X_1', 'Id'): {2: {'Y_2': 1.25,
('Y_2', 'Id'): {3: {'Y_3': 40.0}}}}},
2: {('X_2', 'Id'): {3: {'Y_3': 4.75}}}} # yapf: disable
assert mc.coupling_terms == mc_des
# coupling accross mps boundary
mc.add_multi_coupling_term(50., [1, 3, 5], ['X_1', 'Y_3', 'Y_1'],
['STR', 'JW'])
assert mc.max_range() == 5 - 1
mc._test_terms(sites)
# remove the last coupling again
mc.add_multi_coupling_term(-50., [1, 3, 5], ['X_1', 'Y_3', 'Y_1'],
['STR', 'JW'])
mc.remove_zeros()
assert mc.coupling_terms == mc_des
assert mc.max_range() == 3 - 0
def test_MPO_conversion():
L = 8
sites = []
for i in range(L):
s = site.Site(spin_half.leg)
s.add_op("X_{i:d}".format(i=i), np.diag([2., 1.]))
s.add_op("Y_{i:d}".format(i=i), np.diag([1., 2.]))
sites.append(s)
terms = [
[("X_0", 0)],
[("X_0", 0), ("X_1", 1)],
[("X_0", 0), ("X_3", 3)],
[("X_4", 4), ("Y_5", 5), ("Y_7", 7)],
[("X_4", 4), ("Y_5", 5), ("X_7", 7)],
[("X_4", 4), ("Y_6", 6), ("Y_7", 7)],
]
prefactors = [0.25, 10., 11., 101., 102., 103.]
term_list = TermList(terms, prefactors)
g1 = mpo.MPOGraph.from_term_list(term_list,
sites,
bc='finite',
insert_all_id=False)
ct_add = MultiCouplingTerms(L)
ct_add.add_coupling_term(12., 4, 5, "X_4", "X_5")
ct_add.add_multi_coupling_term(0.5, [4, 5, 7], ["X_4", "Y_5", "X_7"], "Id")
ct_add.add_to_graph(g1)
H1 = g1.build_MPO()
grids = [
[['Id', 'X_0', [('X_0', 0.25)]] # site 0
],
[
['Id', None, None], # site 1
[None, 'Id', [('X_1', 10.0)]],
[None, None, 'Id']
],
[
['Id', None, None], # site 2
[None, [('Id', 11.0)], None],
[None, None, 'Id']
],
[
['Id', None], # site 3
[None, 'X_3'],
[None, 'Id']
],
[
['X_4', None], #site 4
[None, 'Id']
],
[
['Id', 'Y_5', [('X_5', 12.0)]], # site 5
[None, None, 'Id']
],
[
# site 6
[None, [('Y_6', 103.0)], None],
[[('Id', 102.5)], [('Id', 101.0)], None],
[None, None, 'Id']
],
[
['X_7'], # site 7
['Y_7'],
['Id']
]
]
H2 = mpo.MPO.from_grids(sites, grids, 'finite', [0] * 4 + [None] * 5,
[None] * 5 + [-1] * 4)
for w1, w2 in zip(H1._W, H2._W):
assert npc.norm(w1 - w2, np.inf) == 0.
pass