qml.labs.resource_estimation.ResourceSingleQubitComparator

class ResourceSingleQubitComparator(wires=None)[source]

Bases: ResourceOperator

Resource class for comparing the values encoded in two input qubits.

This operation modifies the input qubits. The original values can be restored by applying the operation’s adjoint.

Parameters:

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

Resources:

The resources are obtained from appendix B, Figure 5 in arXiv:1711.10460. Specifically, the resources are given as \(1\) TempAND gate, \(4\) CNOT gates, and \(3\) X gates. The circuit which applies the comparison operation on qubits \((x,y)\) is defined as:

  x: ─╭●───────╭●─╭●──── x
  y: ─├○────╭●─╰X─│───X─ x=y
|0>: ─╰X─╭●─│─────│───── x<y
|0>: ────╰X─╰X────╰X──── x>y

Example

The resources for this operation are computed using:

>>> single_qubit_compare = plre.ResourceSingleQubitComparator()
>>> print(plre.estimate(single_qubit_compare))
--- Resources: ---
 Total qubits: 4
 Total gates : 8
 Qubit breakdown:
  clean qubits: 0, dirty qubits: 0, algorithmic qubits: 4
 Gate breakdown:
  {'Toffoli': 1, 'CNOT': 4, 'X': 3}

num_wires

resource_keys

resource_params

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

num_wires = 4
resource_keys = {}
resource_params

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

Returns:

An empty dictionary

Return type:

dict

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(**kwargs)

Returns a list representing the resources of the operator.

resource_rep()

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(*args, **kwargs)

Returns a name used to track the operator during resource estimation.

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(**kwargs)[source]

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.

Resources:

The resources are obtained from appendix B, Figure 5 in arXiv:1711.10460. Specifically, the resources are given as \(1\) TempAND gate, \(4\) CNOT gates, and \(3\) X gates.

The circuit which applies the comparison operation on wires \((x,y)\) is defined as:

  x: ─╭●───────╭●─╭●──── x
  y: ─├○────╭●─╰X─│───X─ x=y
|0>: ─╰X─╭●─│─────│───── x<y
|0>: ────╰X─╰X────╰X──── x>y
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()[source]

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

Returns:

the operator in a compressed representation

Return type:

CompressedResourceOp

resource_rep_from_op()

Returns a compressed representation directly from the operator

classmethod tracking_name(*args, **kwargs)

Returns a name used to track the operator during resource estimation.

tracking_name_from_op()

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