quairkit.ansatz.container¶

The source file of the Sequential class.

class quairkit.ansatz.container.OperatorList(*operators)¶

Sequential container.

Parameters:¶

operators : Operator¶

initial operators ready to be a sequential

Note

Sublayers will be added to this container in the order of argument in the constructor. The argument passed to the constructor can be iterable Layers or iterable name Layer pairs.

append(op)¶

Appends an given operator to the end.

Parameters:¶

op : Operator¶

module to append

extend(sequential)¶

Appends an given operator to the end.

Parameters:¶

sequential : OperatorList¶

module to append

property oper_history : list[dict[str, str | list[int] | Tensor]]¶

Return the operator history of this Sequential

property param : Tensor¶

Flattened parameters in this list.

property grad : ndarray¶

Gradients with respect to the flattened parameters.

update_param(theta, idx=None)¶

Replace parameters of all/one layer(s) by theta.

Parameters:¶

theta : Tensor | ndarray | float¶

New parameters

idx : int | None¶

Index of replacement. Defaults to None, referring to all layers.

transfer_static()¶

set stop_gradient of all parameters of the list as True

randomize_param(arg0=0, arg1=6.283185307179586, method='Uniform')¶

Randomize parameters of the list based on the initializer. Current we only support Uniform and Normal initializer.

Parameters:¶

arg0 : float¶

first argument of the initializer. Defaults to 0.

arg1 : float¶

first argument of the initializer. Defaults to 2 pi.

method : str¶

The sampling method. Defaults to ‘Uniform’.