qml.estimator.templates.AliasSampling¶

class AliasSampling(num_coeffs, precision=None, wires=None)[source]

Bases: ResourceOperator

Resource class for preparing a state using coherent alias sampling.

Parameters:

num_coeffs (int) – the number of unique coefficients in the state
precision (float) – the precision with which the coefficients are loaded
wires (WiresLike | None) – the wires the operation acts on

Resources:: The resources are obtained from Section III D in arXiv:1805.03662. The circuit uses coherent alias sampling to prepare a state with the given coefficients.

Example

The resources for this operation are computed using:

>>> alias_sampling = qre.AliasSampling(num_coeffs=100)
>>> print(qre.estimate(alias_sampling))
--- Resources: ---
Total wires: 133
    algorithmic wires: 7
    allocated wires: 126
    zero state: 58
    any state: 68
Total gates : 6.505E+3
'Toffoli': 272,
'T': 88,
'CNOT': 4.646E+3,
'X': 595,
'Hadamard': 904

Attributes

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

resource_keys = {'num_coeffs', 'precision'}¶

resource_params¶

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

Returns:

A dictionary containing the resource parameters:

num_coeffs (int): the number of unique coefficients in the state
precision (float): the precision with which the coefficients are loaded

Return type:

dict

Methods

`resource_decomp`(num_coeffs[, precision])	Returns a list representing the resources of the operator.
`resource_rep`(num_coeffs[, precision])	Returns a compressed representation containing only the parameters of the Operator that are needed to compute the resources.

classmethod resource_decomp(num_coeffs, precision=None)[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.

Parameters:

num_coeffs (int) – the number of unique coefficients in the state
precision (float) – the precision with which the coefficients are loaded

Resources:: The resources are obtained from Section III D in arXiv:1805.03662. The circuit uses coherent alias sampling to prepare a state with the given coefficients.

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_coeffs, precision=None)[source]¶

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

qml.estimator.templates.AliasSampling¶

Attributes

Methods

Contents