def scale_weights_strengths(physical, verbosity):
"Manually scale the weights and strengths so Qubist doesn't complain."
h_range = physical.h_range
j_range = physical.j_range
weight_list = qmasm.dict_to_list(physical.weights)
old_cap = max(
[abs(w) for w in weight_list + list(physical.strengths.values())])
new_cap = min(-h_range[0], h_range[1], -j_range[0], j_range[1])
if old_cap == 0.0:
# Handle the obscure case of a zero old_cap.
old_cap = new_cap
new_weights = qmasm.list_to_dict(
[w * new_cap / old_cap for w in weight_list])
new_strengths = {
js: w * new_cap / old_cap
for js, w in physical.strengths.items()
}
if verbosity >= 1 and old_cap != new_cap:
sys.stderr.write(
"Scaling weights and strengths from [%.10g, %.10g] to [%.10g, %.10g].\n\n"
% (-old_cap, old_cap, -new_cap, new_cap))
new_physical = copy.deepcopy(physical)
new_physical.weights = new_weights
new_physical.strengths = new_strengths
return new_physical
def scale_weights_strengths(self, verbosity):
"Manually scale the weights and strengths so Qubist doesn't complain."
h_range = self.h_range
j_range = self.j_range
weight_list = qmasm.dict_to_list(self.weights)
old_cap = max([abs(w) for w in weight_list + list(self.strengths.values())])
new_cap = min(-h_range[0], h_range[1], -j_range[0], j_range[1])
if old_cap == 0.0:
# Handle the obscure case of a zero old_cap.
old_cap = new_cap
self.range_scale = new_cap/old_cap
self.weights = qmasm.list_to_dict([w*self.range_scale for w in weight_list])
self.strengths = {js: w*self.range_scale for js, w in self.strengths.items()}
self.offset *= self.range_scale
if verbosity >= 1 and old_cap != new_cap:
sys.stderr.write("Scaling weights and strengths from [%.10g, %.10g] to [%.10g, %.10g].\n\n" % (-old_cap, old_cap, -new_cap, new_cap))
def scale_weights_strengths(self, verbosity):
"Manually scale the weights and strengths so Qubist doesn't complain."
h_range = self.h_range
j_range = self.j_range
weight_list = qmasm.dict_to_list(self.weights)
old_cap = max(
[abs(w) for w in weight_list + list(self.strengths.values())])
new_cap = min(-h_range[0], h_range[1], -j_range[0], j_range[1])
if old_cap == 0.0:
# Handle the obscure case of a zero old_cap.
old_cap = new_cap
self.range_scale = new_cap / old_cap
self.weights = qmasm.list_to_dict(
[w * self.range_scale for w in weight_list])
self.strengths = {
js: w * self.range_scale
for js, w in self.strengths.items()
}
if verbosity >= 1 and old_cap != new_cap:
sys.stderr.write(
"Scaling weights and strengths from [%.10g, %.10g] to [%.10g, %.10g].\n\n"
% (-old_cap, old_cap, -new_cap, new_cap))
