Minor fix for numpy old version compatibility

SimoneGasperini · Oct 2, 2024 · 9412a5f · 9412a5f
1 parent 89c0b6c
commit 9412a5f
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/src/qiskit_symb/circuit/gate.py b/src/qiskit_symb/circuit/gate.py
@@ -41,7 +41,7 @@ def _get_tensor(self):
         """todo"""
         sympy_matrix = self.__sympy__()
         newshape = (2, 2) * self.num_qubits
-        return numpy.reshape(sympy_matrix, shape=newshape)
+        return numpy.reshape(sympy_matrix, newshape)
 
     def to_sympy(self):
         """todo"""

diff --git a/src/qiskit_symb/quantum_info/quantumbase.py b/src/qiskit_symb/quantum_info/quantumbase.py
@@ -28,7 +28,7 @@ def _get_circ_unitary(circ):
         circ = transpile(circ, optimization_level=1)
         dim = 2 ** circ.num_qubits
         newshape = (2, 2) * circ.num_qubits
-        unitary = numpy.reshape(numpy.eye(dim), shape=newshape)
+        unitary = numpy.reshape(numpy.eye(dim), newshape)
         for layer in circuit_to_dag(circ).layers():
             for instr in layer['graph'].gate_nodes():
                 gate_tensor = Gate.get(instruction=instr)._get_tensor()
@@ -38,7 +38,7 @@ def _get_circ_unitary(circ):
                 unitary = numpy.einsum(indexing, gate_tensor, unitary,
                                        dtype=object, casting='no', optimize='optimal')
         gph = sympy.exp(sympy.I * circ.global_phase)
-        return gph * Matrix(numpy.reshape(unitary, shape=(dim, dim)))
+        return gph * Matrix(numpy.reshape(unitary, (dim, dim)))
 
     @classmethod
     def from_label(cls, label):