forked from qcware/platform_client_library_python
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathparam_utils.py
More file actions
140 lines (118 loc) · 4.12 KB
/
param_utils.py
File metadata and controls
140 lines (118 loc) · 4.12 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
import params_pb2
from google.protobuf import descriptor
import numpy as np
def convert(params, endpoint_type):
param_dict = params_pb2.params()
if endpoint_type != "solve_binary":
print('here')
param_dict = params_pb2.params_vqe()
# print(param_dict)
valid_keys = [f.name for f in param_dict.DESCRIPTOR.fields]
for k, v in params.items():
if k in valid_keys:
python_to_proto(param_dict, k, v)
return param_dict
def isInt(a):
return isinstance(a, (int, np.integer))
def python_to_proto(param_dict, k, v):
if k == "Q":
getattr(param_dict, k).CopyFrom(dict_to_protodict(v, isTensor=True))
elif k == "constraints_linear_A":
getattr(param_dict, k).CopyFrom(dict_to_protodict(mat_to_dict(v)))
elif k == "constraints_linear_b":
getattr(param_dict, k).CopyFrom(vec_to_protovec(v))
elif k == "constraints_equality_R" or k == "constraints_inequality_S":
getattr(param_dict, k).extend(mat_array_to_protodict_array(v))
elif k == "constraints_equality_c" or k == "constraints_inequality_d":
getattr(param_dict, k).extend(vec_array_to_protovec_array(v))
elif k == "cirq_arguments_optimizer":
getattr(param_dict, k).CopyFrom(dict_to_cirq_arguments_optimizer(v))
elif k == "molecule":
getattr(param_dict, k).CopyFrom(array_to_molecule_vqe(v))
elif k == "guess_amplitudes":
getattr(param_dict, k).CopyFrom(array_to_amplitudes_vqe(v))
else:
# Must be a 'primitive' of some type
setattr(param_dict, k, v)
def mat_to_dict(mat, symmetrize=False):
the_dict = {}
for i in range(len(mat)):
for j in range(len(mat[i])):
the_dict[(i, j)] = mat[i][j]
if symmetrize:
new_dict = {}
for it in the_dict.keys():
val = the_dict[it]
if (it[1], it[0]) in the_dict.keys() and it[1] != it[0] and it[1] > it[0]:
val += the_dict[(it[1], it[0])]
new_dict[it] = val
elif it[1] == it[0]:
new_dict[it] = the_dict[it]
return new_dict
else:
return the_dict
def dict_to_protodict(pydict, isTensor=False):
pb_obj = params_pb2.params.Tensor() if isTensor else params_pb2.params.Matrix()
for k, v in pydict.items():
entry = pb_obj.entries.add()
if isTensor:
entry.indices.extend(k)
else:
entry.i = k[0]
entry.j = k[1]
if isInt(v):
entry.int_val = v
else:
entry.float_val = v
return pb_obj
def array_to_molecule_vqe(arr):
pb_obj = params_pb2.params_vqe.Molecule()
for atom in arr:
entry = pb_obj.entries.add()
entry.atom = atom[0]
for pos in atom[1]:
coord = entry.coord.add()
if isInt(pos):
coord.x_int = pos
else:
coord.x_float = pos
return pb_obj
def array_to_amplitudes_vqe(arr):
pb_obj = params_pb2.params_vqe.Vector2()
for amplitude in arr:
entry = pb_obj.entries.add()
if isInt(amplitude):
entry.int_val = amplitude
else:
entry.float_val = amplitude
return pb_obj
def mat_array_to_protodict_array(mat_array):
pb_matrices = []
for mat in mat_array:
pbmat = dict_to_protodict(mat_to_dict(mat))
pb_matrices.append(pbmat)
return pb_matrices
def vec_to_protovec(vec):
pb_vec = params_pb2.params.Vector()
for el in vec:
entry = pb_vec.entries.add()
if isInt(el):
entry.int_val = el
else:
entry.float_val = el
return pb_vec
def vec_array_to_protovec_array(vec_array):
pb_vecs = []
for vec in vec_array:
pb_vec = vec_to_protovec(vec)
pb_vecs.append(pb_vec)
return pb_vecs
def dict_to_cirq_arguments_optimizer(pydict):
pb_obj = params_pb2.params.CirqArgumentsOptimizer()
if 'init_point' in pydict:
pb_obj.init_point = pydict['init_point']
if 'number_iter' in pydict:
pb_obj.number_iter = pydict['number_iter']
if 'kappa' in pydict:
pb_obj.kappa = pydict['kappa']
return pb_obj