doc: improve docstrings related to TensorNetworkResult
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@@ -126,9 +126,6 @@ class QMatchaTeaBackend(QibotnBackend, NumpyBackend):
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prob_type = "U"
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prob_kwargs = {"num_samples": 500}
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# To be sure the setup is correct and no modifications have been done
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self._setup_qmatchatea_backend()
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# TODO: check
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circuit = self._qibocirc_to_qiskitcirc(circuit)
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run_qk_params = qmatchatea.preprocessing.qk_transpilation_params(False)
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@@ -189,7 +186,9 @@ class QMatchaTeaBackend(QibotnBackend, NumpyBackend):
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(e.g., `X(0)*Y(1)` or `Z(0)*Z(1) + 1.5*Y(2)`).
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Returns:
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qmatchatea.SimulationResult [TEMPORARY]
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qibotn.TensorNetworkResult class, providing methods to retrieve
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probabilities, frequencies and state always according to the chosen
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simulation setup.
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"""
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# From Qibo to Qiskit
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