qml.labs.resource_estimation.ResourceQubitizeTHC

class ResourceQubitizeTHC(compact_ham, coeff_precision=1e-05, rotation_precision=1e-05, compare_precision=0.001, wires=None)

Bases: ResourceOperator

Resource class for Qubitization of THC Hamiltonian.

Parameters:

• compact_ham (CompactHamiltonian) – a tensor hypercontracted Hamiltonian for which the walk operator is being created

• coeff_precision (float, optional) – precision for loading the coefficients of Hamiltonian

• rotation_precision (float, optional) – precision for loading the rotation angles for basis rotation

• compare_precision (float, optional) – precision for comparing two numbers

• wires (list[int] or optional) – the wires on which the operator acts

Resources:

The resources are calculated based on arXiv:2011.03494

Example

The resources for this operation are computed using:

>>> compact_ham = plre.CompactHamiltonian.thc(num_orbitals=20, tensor_rank=40)
>>> res = plre.estimate_resources(plre.ResourceQubitizeTHC(compact_ham))
>>> print(res)
--- Resources: ---
 Total qubits: 147.0
 Total gates : 1.631E+5
 Qubit breakdown:
  clean qubits: 10, dirty qubits: 82.0, algorithmic qubits: 55
 Gate breakdown:
  {'X': 2.046E+4, 'CNOT': 8.721E+4, 'Toffoli': 1.584E+4, 'Hadamard': 3.923E+4, 'Z': 160, 'Y': 200}

Attributes

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

num_wires = 0

resource_keys = {}

resource_params

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

Returns:

A dictionary containing the resource parameters:

• compact_ham (~pennylane.labs.resource_estimation.CompactHamiltonian): a tensor hypercontracted Hamiltonian for which the walk operator is being created

• coeff_precision (float, optional): precision for loading the coefficients of Hamiltonian

• rotation_precision (float, optional): precision for loading the rotation angles for basis rotation

• compare_precision (float, optional): precision for comparing two numbers

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(compact_ham[, ...])	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(*args, **kwargs)	Returns a list of actions that define the resources of the operator.
resource_rep(compact_ham, coeff_precision, ...)	Returns a compressed representation containing only the parameters of the Operator that are needed to compute a resource estimation.
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(compact_ham, coeff_precision=1e-05, rotation_precision=1e-05, compare_precision=0.001, **kwargs)

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:

• compact_ham (CompactHamiltonian) – a tensor hypercontracted Hamiltonian for which the walk operator is being created

• coeff_precision (float, optional) – precision for loading the coefficients of Hamiltonian

• rotation_precision (float, optional) – precision for loading the rotation angles for basis rotation

• compare_precision (float, optional) – precision for comparing two numbers

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(*args, **kwargs)

Returns a list of actions that define the resources of the operator.

classmethod resource_rep(compact_ham, coeff_precision, rotation_precision, compare_precision)

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

Parameters:

• compact_ham (CompactHamiltonian) – a tensor hypercontracted Hamiltonian for which the walk operator is being created

• coeff_precision (float, optional) – precision for loading the coefficients of Hamiltonian

• rotation_precision (float, optional) – precision for loading the rotation angles for basis rotation

• compare_precision (float, optional) – precision for comparing two numbers

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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