feat: TensorNetworkResult object implementation

src/qibotn/result.py

@@ -0,0 +1,37 @@
+from dataclasses import dataclass
+from typing import Union
+
+from numpy import ndarray
+from qibo.config import raise_error
+
+from qibotn.backends.abstract import QibotnBackend
+
+
+@dataclass
+class TensorNetworkResult:
+    nqubits: int
+    backend: QibotnBackend
+    measures: dict
+    measured_probabilities: Union[dict, ndarray]
+    prob_type: str
+    statevector: ndarray
+
+    def __post_init__(self):
+        # TODO: define the general convention when using backends different from qmatchatea
+        if self.measured_probabilities is None:
+            self.measured_probabilities = {"default": self.measured_probabilities}
+
+    def probabilities(self):
+        return self.measured_probabilities[self.prob_type]
+
+    def frequencies(self):
+        return self.measures
+
+    def state(self):
+        if self.nqubits < 30:
+            return self.statevector
+        else:
+            raise_error(
+                NotImplementedError,
+                f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
+            )