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  4. qp.labs.resource_estimation.ResourcePrepTHC

qp.labs.resource_estimation.ResourcePrepTHC

class ResourcePrepTHC(compact_ham, coeff_precision=None, select_swap_depth=None, wires=None)[source]

Bases: ResourceOperator

Resource class for preparing the state for tensor hypercontracted Hamiltonian. This operator customizes the Prepare circuit based on the structure of THC Hamiltonian.

Parameters:

  • compact_ham (CompactHamiltonian) – a tensor hypercontracted Hamiltonian for which the state is being prepared

  • coeff_precision (int, optional) – The number of bits used to represent the precision for loading the coefficients of Hamiltonian. If None is provided, the default value from the resource_config is used.

  • select_swap_depth (int, optional) – A parameter of ResourceQROM used to trade-off extra qubits for reduced circuit depth. Defaults to None, which internally determines the optimal depth.

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

Resources:

The resources are calculated based on Figures 3 and 4 in 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(plre.ResourcePrepTHC(compact_ham, coeff_precision=15))
>>> print(res)
--- Resources: ---
 Total qubits: 185
 Total gates : 1.485E+4
 Qubit breakdown:
  clean qubits: 28, dirty qubits: 145, algorithmic qubits: 12
 Gate breakdown:
  {'Hadamard': 797, 'Toffoli': 467, 'CNOT': 1.307E+4, 'X': 512}

num_wires

resource_keys

resource_params

Returns a dictionary containing the minimal information needed to compute the resources.
num_wires = 1
resource_keys = {'coeff_precision', 'compact_ham', 'select_swap_depth'}
resource_params

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

Returns:

A dictionary containing the resource parameters:

  • compact_ham (CompactHamiltonian): a tensor hypercontracted Hamiltonian for which the state is being prepared

  • coeff_precision (int, optional): The number of bits used to represent the precision for loading the coefficients of Hamiltonian. If None is provided, the default value from the resource_config is used.

  • select_swap_depth (int, optional): A parameter of ResourceQROM used to trade-off extra qubits for reduced circuit depth. Defaults to None, which internally determines the optimal depth.

Return type:

dict

adjoint_resource_decomp(compact_ham[, ...])

Returns a list representing the resources of 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(compact_ham[, ...])

Returns a list representing 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

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(compact_ham, coeff_precision=None, select_swap_depth=None, **kwargs)[source]

Returns a list representing the resources of the adjoint 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 (int, optional) – The number of bits used to represent the precision for loading the coefficients of Hamiltonian. If None is provided, the default value from the resource_config is used.

  • select_swap_depth (int, optional) – A parameter of ResourceQROM used to trade-off extra qubits for reduced circuit depth. Defaults to None, which internally determines the optimal depth.

Resources:

The resources are calculated based on Figures 3 and 4 in arXiv:2011.03494

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 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(compact_ham, coeff_precision=None, select_swap_depth=None, **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:

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

  • coeff_precision (int, optional) – The number of bits used to represent the precision for loading the coefficients of Hamiltonian. If None is provided, the default value from the resource_config is used.

  • select_swap_depth (int, optional) – A parameter of ResourceQROM used to trade-off extra qubits for reduced circuit depth. Defaults to None, which internally determines the optimal depth.

Resources:

The resources are calculated based on Figures 3 and 4 in arXiv:2011.03494

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(compact_ham, coeff_precision=None, select_swap_depth=None)[source]

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 state is being prepared

  • coeff_precision (int, optional) – The number of bits used to represent the precision for loading the coefficients of Hamiltonian. If None is provided, the default value from the resource_config is used.

  • select_swap_depth (int, optional) – A parameter of ResourceQROM used to trade-off extra qubits for reduced circuit depth. Defaults to None, which internally determines the optimal depth.

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.

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