qml.estimator.templates.BBQRAM

class BBQRAM(num_bitstrings, size_bitstring, num_wires, num_bit_flips=None, control_wires=None, target_wires=None, work_wires=None)[source]

Bases: ResourceOperator

Resource class for BBQRAM.

Parameters:
  • num_bitstrings (int) – the size of the classical memory array to retrieve values from

  • size_bitstring (int) – the length of the individual bitstrings in the classical memory

  • num_bit_flips (int) – the number of 1s in the classical memory

  • num_wires (int) – the number of qubits the operation acts upon

  • control_wires (WiresLike) – The register that stores the index for the entry of the classical data we want to access.

  • target_wires (WiresLike) – The register in which the classical data gets loaded. The size of this register must equal each bitstring length in bitstrings.

  • work_wires (WiresLike) – The additional wires required to funnel the desired entry of bitstrings into the target register.

Raises:

ValueError – if the number of wires provided does not match num_wires

Resources:

The resources are obtained from the BBQRAM implementation in PennyLane. The original publication of the algorithm can be found in Quantum Random Access Memory.

See also

BBQRAM

resource_keys

resource_params

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

resource_keys = {'num_bit_flips', 'num_bitstrings', 'num_wires', 'size_bitstring'}
resource_params

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

Returns:

A dictionary containing the resource parameters:
  • num_wires (int): the number of qubits the operation acts upon

  • num_bitstrings (int): the size of the classical memory array to retrieve values from

  • size_bitstring (int): the length of the individual bitstrings in the classical memory

  • num_bit_flips (int): the number of 1s in the classical memory

Return type:

dict

resource_decomp(num_bitstrings, ...)

Returns a list representing the resources of the operator.

resource_rep(num_bitstrings, size_bitstring, ...)

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

tracking_name(num_bitstrings, ...)

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

classmethod resource_decomp(num_bitstrings, size_bitstring, num_bit_flips, num_wires)[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_bitstrings (int) – the size of the classical memory array to retrieve values from

  • size_bitstring (int) – the length of the individual bitstrings in the classical memory

  • num_bit_flips (int) – the number of 1s in the classical memory

  • num_wires (int) – the number of qubits the operation acts upon

Resources:

The resources are obtained from the BBQRAM implementation in PennyLane. The original publication of the algorithm can be found in Quantum Random Access Memory.

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_bitstrings, size_bitstring, num_bit_flips, num_wires)[source]

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

Parameters:
  • num_bitstrings (int) – the size of the classical memory array to retrieve values from

  • size_bitstring (int) – the length of the individual bitstrings in the classical memory

  • num_bit_flips (int) – the number of 1s in the classical memory

  • num_wires (int) – the number of qubits the operation acts upon

Returns:

the operator in a compressed representation

Return type:

CompressedResourceOp

static tracking_name(num_bitstrings, size_bitstring, num_bit_flips, num_wires)[source]

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

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