Apply suggestions from code review

Co-authored-by: BrunoLiegiBastonLiegi <45011234+BrunoLiegiBastonLiegi@users.noreply.github.com>
This commit is contained in:
Matteo Robbiati
2025-02-10 10:11:59 +01:00
committed by GitHub
parent 65b60e0fb9
commit 72ba4165be
3 changed files with 9 additions and 10 deletions

View File

@@ -35,7 +35,7 @@ class MetaBackend:
else:
raise_error(
NotImplementedError,
f"Unsupported platform {platform}, please pick one in (`cutensornet`, `qutensornet`, `qmatchatea`)",
f"Unsupported platform {platform}, please pick one in {PLATFORMS}",
)
def list_available(self) -> dict:

View File

@@ -19,7 +19,7 @@ class QMatchaTeaBackend(QibotnBackend):
def __init__(self):
super().__init__()
self.name = "qiboml"
self.name = "qibotn"
self.platform = "qmatchatea"
# Set default configurations

View File

@@ -26,10 +26,10 @@ class TensorNetworkResult:
"""Return calculated probabilities according to the given method."""
if self.prob_type == "U":
measured_probabilities = deepcopy(self.measured_probabilities)
for bitstring in self.measured_probabilities[self.prob_type]:
for bitstring, prob in self.measured_probabilities[self.prob_type].items():
measured_probabilities[self.prob_type][bitstring] = (
self.measured_probabilities[self.prob_type][bitstring][1]
- self.measured_probabilities[self.prob_type][bitstring][0]
prob[1]
- prob[0]
)
probabilities = measured_probabilities[self.prob_type]
else:
@@ -50,8 +50,7 @@ class TensorNetworkResult:
"""Return the statevector if the number of qubits is less than 30."""
if self.nqubits < 20:
return self.statevector
else:
raise_error(
NotImplementedError,
f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
)
raise_error(
NotImplementedError,
f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
)