qml.labs.resource_estimation.ResourceQFT

class ResourceQFT(num_wires, wires=None)

Bases: ResourceOperator

Resource class for QFT.

Parameters:

• 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 the standard decomposition of QFT as presented in (chapter 5) Nielsen, M.A. and Chuang, I.L. (2011) Quantum Computation and Quantum Information.

See also

QFT

Example

The resources for this operation are computed using:

>>> qft = plre.ResourceQFT(3)
>>> gate_set = {"SWAP", "Hadamard", "ControlledPhaseShift"}
>>> print(plre.estimate(qft, gate_set))
--- Resources: ---
 Total qubits: 3
 Total gates : 7
 Qubit breakdown:
  clean qubits: 0, dirty qubits: 0, algorithmic qubits: 3
 Gate breakdown:
  {'Hadamard': 3, 'SWAP': 1, 'ControlledPhaseShift': 3}

Attributes

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

num_wires = 1

resource_keys = {'num_wires'}

resource_params

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

Returns:

A dictionary containing the resource parameters:

• 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.
phase_grad_resource_decomp(num_wires, **kwargs)	Returns a list representing the resources of the operator.
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(num_wires, **kwargs)	Returns a list representing the resources of the operator.
resource_rep(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(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 phase_grad_resource_decomp(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.

Note

This decomposition 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:

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

Resources:

The resources are obtained as presented in the article Turning Gradients into Additions into QFTs. Specifically, following the figure titled “8 qubit Quantum Fourier Transform with gradient shifts”

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 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(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:

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

Resources:

The resources are obtained from the standard decomposition of QFT as presented in (Chapter 5) Nielsen, M.A. and Chuang, I.L. (2011) Quantum Computation and Quantum Information.

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(num_wires)

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

Parameters:

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(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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