qml.labs.resource_estimation.ResourceChangeBasisOp¶

class ResourceChangeBasisOp(compute_op, base_op, uncompute_op=None, wires=None)[source]¶

Bases: ResourceOperator

Change of Basis resource operator.

A symbolic class used to represent a change of basis operation. This is a special type of operator which can be expressed as \(\hat{U}_{compute} \cdot \hat{V} \cdot \hat{U}_{uncompute}\). If no uncompute_op is provided then the adjoint of the compute_op is used by default.

Parameters:

compute_op (ResourceOperator) – A resource operator representing the basis change operation.
base_op (ResourceOperator) – A resource operator representing the base operation.
uncompute_op (ResourceOperator, optional) – An optional resource operator representing the inverse of the basis change operation.
wires (Sequence[int], optional) – the wires the operation acts on

Resources:: This symbolic class represents a product of the three provided operations. The resources are defined trivially as the sum of the costs of each.

Attributes

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

num_wires = 0¶

resource_keys = {'cmpr_base_op', 'cmpr_compute_op', 'cmpr_uncompute_op'}¶

resource_params¶

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

Returns:: A dictionary containing the resource parameters: * cmpr_compute_op (CompressedResourceOp): A compressed resource operator, corresponding to the compute operation. * cmpr_base_op (CompressedResourceOp): A compressed resource operator, corresponding to the base operation. * cmpr_uncompute_op (CompressedResourceOp): A compressed resource operator, corresponding to the uncompute operation.
Return type:: dict

Methods

`adjoint_resource_decomp`(args, *kwargs)	Returns a list of actions that define the resources of the operator.
`controlled_resource_decomp`(...)	Returns a list representing the resources for a controlled version of the operator.
`default_adjoint_resource_decomp`(args, *kwargs)	Returns a list representing the resources for the adjoint of the operator.
`default_controlled_resource_decomp`(...)	Returns a list representing the resources for a controlled version of the operator.
`default_pow_resource_decomp`(pow_z, *args, ...)	Returns a list representing the resources for an operator raised to a power.
`default_resource_decomp`(cmpr_compute_op, ...)	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`(ops_to_remove[, context])	Append the operator to the Operator queue.
`resource_decomp`(args, *kwargs)	Returns a list of actions that define the resources of the operator.
`resource_rep`(cmpr_compute_op, cmpr_base_op)	Returns a compressed representation containing only the parameters of the Operator that are needed to estimate the resources.
`resource_rep_from_op`()	Returns a compressed representation directly from the operator
`set_resources`(new_func[, override_type])	Set a custom function to override the default resource decomposition.
`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 of actions that define the resources 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

classmethod default_adjoint_resource_decomp(*args, **kwargs)¶: Returns a list representing the resources for the adjoint of the operator.

classmethod default_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

classmethod default_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

classmethod default_resource_decomp(cmpr_compute_op, cmpr_base_op, cmpr_uncompute_op, **kwargs)[source]¶

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

Parameters:

cmpr_compute_op (CompressedResourceOp) – A compressed resource operator, corresponding to the compute operation.
cmpr_base_op (CompressedResourceOp) – A compressed resource operator, corresponding to the base operation.
cmpr_uncompute_op (CompressedResourceOp) – A compressed resource operator, corresponding to the uncompute operation.

Resources:: This symbolic class represents a product of the three provided operations. The resources are defined trivially as the sum of the costs of each.

See also

Prod

Example

Note, each operation in the product must be a valid ResourceOperator The change of basis operation can be constructed as follows:

>>> compute_u = plre.ResourceS()
>>> base_v = plre.ResourceZ()
>>> cb_op = plre.ResourceChangeBasisOp(compute_u, base_v)
>>> print(plre.estimate_resources(cb_op, gate_set={"Z", "S", "Adjoint(S)"}))
--- Resources: ---
Total qubits: 1
Total gates : 3
Qubit breakdown:
clean qubits: 0, dirty qubits: 0, algorithmic qubits: 1
Gate breakdown:
{'S': 1, 'Z': 1, 'Adjoint(S)': 1}

We can also set the uncompute_op directly.

>>> uncompute_u = plre.ResourceProd([plre.ResourceZ(), plre.ResourceS()])
>>> cb_op = plre.ResourceChangeBasisOp(compute_u, base_v, uncompute_u)
>>> print(plre.estimate_resources(cb_op, gate_set={"Z", "S", "Adjoint(S)"}))
--- Resources: ---
Total qubits: 1
Total gates : 4
Qubit breakdown:
clean qubits: 0, dirty qubits: 0, algorithmic qubits: 1
Gate breakdown:
{'S': 2, 'Z': 2}

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(ops_to_remove, context=<class 'pennylane.queuing.QueuingManager'>)[source]¶: Append the operator to the Operator queue.

classmethod resource_decomp(*args, **kwargs)¶: Returns a list of actions that define the resources of the operator.

classmethod resource_rep(cmpr_compute_op, cmpr_base_op, cmpr_uncompute_op=None)[source]¶

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

Parameters:

cmpr_compute_op (CompressedResourceOp) – A compressed resource operator, corresponding to the compute operation.
cmpr_base_op (CompressedResourceOp) – A compressed resource operator, corresponding to the base operation.
cmpr_uncompute_op (CompressedResourceOp) – A compressed resource operator, corresponding to the uncompute operation.

Returns:

the operator in a compressed representation

Return type:

CompressedResourceOp

resource_rep_from_op()¶: Returns a compressed representation directly from the operator

classmethod set_resources(new_func, override_type='base')¶

Set a custom function to override the default resource decomposition.

This method allows users to replace any of the resource_decomp, adjoint_resource_decomp, ctrl_resource_decomp, or pow_resource_decomp methods globally for every instance of the class.

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.

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qml.labs.resource_estimation.ResourceChangeBasisOp¶

Attributes

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