qml.labs.resource_estimation.ResourceAQFT

class ResourceAQFT(order, num_wires, wires=None)

Bases: ResourceOperator

Resource class for the Approximate QFT.

Note

This operation assumes an appropriately sized phase gradient state is available. Users should ensure the cost of constructing such a state has been accounted for. See also ResourcePhaseGradient.

Parameters:

• order (int) – the maximum number of controlled phaseshifts to which the operation is truncated

• num_wires (int) – the number of qubits the operation acts upon

• wires (Sequence[int], optional) – the wires the operation acts on

Resources:

The resources are obtained from (Fig. 4) of arXiv:1803.04933, excluding the allocation and instantiation of the phase gradient state. The phased Toffoli gates and the classical measure-and-reset (Fig. 2) are accounted for as TempAND operations.

See also

AQFT

Example

The resources for this operation are computed using:

>>> aqft = plre.ResourceAQFT(order=2, num_wires=3)
>>> gate_set = {"SWAP", "Hadamard", "T", "CNOT"}
>>> print(plre.estimate(aqft, gate_set))
--- Resources: ---
 Total qubits: 4
 Total gates : 57
 Qubit breakdown:
  clean qubits: 1, dirty qubits: 0, algorithmic qubits: 3
 Gate breakdown:
  {'Hadamard': 7, 'CNOT': 9, 'T': 40, 'SWAP': 1}

Attributes

num_wires
resource_keys
resource_params	Returns a dictionary containing the minimal information needed to compute the resources.

num_wires = 1

resource_keys = {'order, num_wires'}

resource_params

Returns a dictionary containing the minimal information needed to compute the resources.

Returns:

A dictionary containing the resource parameters:

• order (int): the maximum number of controlled phaseshifts to which the operation is truncated

• num_wires (int): the number of qubits the operation acts upon

Return type:

dict

Methods

adjoint_resource_decomp(*args, **kwargs)	Returns a list representing the resources for the adjoint of the operator.
controlled_resource_decomp(...)	Returns a list representing the resources for a controlled version of the operator.
dequeue(op_to_remove[, context])	Remove the given resource operator(s) from the Operator queue.
pow_resource_decomp(pow_z, *args, **kwargs)	Returns a list representing the resources for an operator raised to a power.
queue([context])	Append the operator to the Operator queue.
resource_decomp(order, num_wires, **kwargs)	Returns a list representing the resources of the operator.
resource_rep(order, num_wires)	Returns a compressed representation containing only the parameters of the Operator that are needed to compute the resources.
resource_rep_from_op()	Returns a compressed representation directly from the operator
tracking_name(order, num_wires)	Returns the tracking name built with the operator's parameters.
tracking_name_from_op()	Returns the tracking name built with the operator's parameters.

classmethod adjoint_resource_decomp(*args, **kwargs)

Returns a list representing the resources for the adjoint of the operator.

classmethod controlled_resource_decomp(ctrl_num_ctrl_wires, ctrl_num_ctrl_values, *args, **kwargs)

Returns a list representing the resources for a controlled version of the operator.

Parameters:

• ctrl_num_ctrl_wires (int) – the number of qubits the operation is controlled on

• ctrl_num_ctrl_values (int) – the number of control qubits, that are controlled when in the \(|0\rangle\) state

static dequeue(op_to_remove, context=<class 'pennylane.queuing.QueuingManager'>)

Remove the given resource operator(s) from the Operator queue.

classmethod pow_resource_decomp(pow_z, *args, **kwargs)

Returns a list representing the resources for an operator raised to a power.

Parameters:

pow_z (int) – exponent that the operator is being raised to

queue(context=<class 'pennylane.queuing.QueuingManager'>)

Append the operator to the Operator queue.

classmethod resource_decomp(order, num_wires, **kwargs)

Returns a list representing the resources of the operator. Each object in the list represents a gate and the number of times it occurs in the circuit.

Parameters:

• order (int) – the maximum number of controlled phaseshifts to which the operation is truncated

• num_wires (int) – the number of qubits the operation acts upon

Resources:

The resources are obtained from (Fig. 4) arXiv:1803.04933 excluding the allocation and instantiation of the phase gradient state. The phased Toffoli gates and the classical measure-and-reset (Fig. 2) are accounted for as TempAND operations.

Returns:

A list of GateCount objects, where each object represents a specific quantum gate and the number of times it appears in the decomposition.

Return type:

list[GateCount]

classmethod resource_rep(order, num_wires)

Returns a compressed representation containing only the parameters of the Operator that are needed to compute the resources.

Parameters:

• order (int) – the maximum number of controlled phaseshifts to truncate

• num_wires (int) – the number of qubits the operation acts upon

Returns:

the operator in a compressed representation

Return type:

CompressedResourceOp

resource_rep_from_op()

Returns a compressed representation directly from the operator

static tracking_name(order, num_wires)

Returns the tracking name built with the operator’s parameters.

tracking_name_from_op()

Returns the tracking name built with the operator’s parameters.

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