Update _NPY_MAXDIMS

numpy 1.x supported a maximum of 32 dimensions and then raised an error .. this was an issue for large scale simulations with qubits up to 35 for state vector simulation and up to 18 qubits for density matrix simulations.

As a workaround to support these cases we worked with 1D and 2D arrays for these cases which was very inefficient. 

now numpy 2.0 supports up to 64 dimensions

Author: NoureldinYosri

cirq-core/cirq/linalg/transformations.py

@@ -29,7 +29,7 @@
 # user provides a different np.array([]) value.
 RaiseValueErrorIfNotProvided: np.ndarray = np.array([])
 
-_NPY_MAXDIMS = 32  # Should be changed once numpy/numpy#5744 is resolved.
+_NPY_MAXDIMS = 64
 
 
 def reflection_matrix_pow(reflection_matrix: np.ndarray, exponent: float):