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Merge branch 'matcha' of github.com:qiboteam/qibotn into matcha

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This commit is contained in:
MatteoRobbiati
2025-02-10 10:12:47 +01:00
parent 39ed3ebbab 938bf136f6
commit d959c95535
3 changed files with 8 additions and 12 deletions
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2
src/qibotn/backends/__init__.py
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@@ -35,7 +35,7 @@ class MetaBackend:
else: else:
raise_error( raise_error(
NotImplementedError, 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: def list_available(self) -> dict:

2
src/qibotn/backends/qmatchatea.py
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@@ -19,7 +19,7 @@ class QMatchaTeaBackend(QibotnBackend):
def __init__(self): def __init__(self):
super().__init__() super().__init__()
self.name = "qiboml" self.name = "qibotn"
self.platform = "qmatchatea" self.platform = "qmatchatea"
# Set default configurations # Set default configurations

16
src/qibotn/result.py
View File

@@ -26,11 +26,8 @@ class TensorNetworkResult:
"""Return calculated probabilities according to the given method.""" """Return calculated probabilities according to the given method."""
if self.prob_type == "U": if self.prob_type == "U":
measured_probabilities = deepcopy(self.measured_probabilities) 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] = ( measured_probabilities[self.prob_type][bitstring] = prob[1] - prob[0]
self.measured_probabilities[self.prob_type][bitstring][1]
- self.measured_probabilities[self.prob_type][bitstring][0]
)
probabilities = measured_probabilities[self.prob_type] probabilities = measured_probabilities[self.prob_type]
else: else:
probabilities = self.measured_probabilities[self.prob_type] probabilities = self.measured_probabilities[self.prob_type]
@@ -50,8 +47,7 @@ class TensorNetworkResult:
"""Return the statevector if the number of qubits is less than 30.""" """Return the statevector if the number of qubits is less than 30."""
if self.nqubits < 20: if self.nqubits < 20:
return self.statevector return self.statevector
else: raise_error(
raise_error( NotImplementedError,
NotImplementedError, f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .", )
)