peropq.unconstrained_variational_unitary¶
Classes¶
class representing the variational unitary ansataz, with no prior constraint on the variational parameters. |
Module Contents¶
- class peropq.unconstrained_variational_unitary.UnconstrainedVariationalUnitary¶
Bases:
peropq.variational_unitary.VariationalUnitaryclass representing the variational unitary ansataz, with no prior constraint on the variational parameters.
- update_theta(new_array)¶
Update theta.
- Parameters:
new_array (numpy.typing.NDArray) – the new array containing the variational parameters. It’s shape must be (R, n_terms).
- Return type:
None
- flatten_theta(theta)¶
Returns an input theta as flatten depth*n_terms array. Useful to pass to a minimization function.
- Parameters:
theta (numpy.typing.NDArray)
- Return type:
numpy.typing.NDArray
- unflatten_theta(flat_theta)¶
Returns the flattened variational parameters as an array with shape (depth,n_terms).
- Parameters:
flat_theta (numpy.typing.NDArray)
- Return type:
numpy.typing.NDArray
- get_flattened_theta()¶
Return the flatten current variational parameters.
- Return type:
numpy.typing.NDArray
- get_initial_trotter_vector()¶
Get the variational parameters corresponding to the Trotterization. Useful to initialize the optimization.
- Return type:
numpy.typing.NDArray
- set_theta_to_trotter()¶
Sets the variational parameters to the Trotter parameters.
- Return type:
None