qilisdk.backends.cuda_backend

Attributes

TBasicGate
BasicGateHandlersMapping
TPauliOperator
PauliOperatorHandlersMapping

Classes

CudaSamplingMethod	Enumeration of available simulation methods for the CUDA backend.
CudaBackend	Backend implementation using CUDA-based simulation.

Module Contents

TBasicGate

BasicGateHandlersMapping

TPauliOperator

PauliOperatorHandlersMapping

class CudaSamplingMethod

Bases: str, enum.Enum

Enumeration of available simulation methods for the CUDA backend.

Initialize self. See help(type(self)) for accurate signature.

STATE_VECTOR = 'state_vector'

TENSOR_NETWORK = 'tensor_network'

MATRIX_PRODUCT_STATE = 'matrix_product_state'

class CudaBackend(sampling_method: CudaSamplingMethod = CudaSamplingMethod.STATE_VECTOR)

Bases: qilisdk.backends.backend.Backend

Backend implementation using CUDA-based simulation.

This backend translates a quantum circuit into a CUDA-compatible kernel and executes it using the cudaq library. It supports different simulation methods including state vector, tensor network, and matrix product state simulations. Gate operations in the circuit are mapped to CUDA operations via dedicated handler functions.

Initialize the CudaBackend.

Parámetros:

sampling_method (CudaSamplingMethod, optional) – The simulation method to use for sampling circuits. Options include STATE_VECTOR, TENSOR_NETWORK, or MATRIX_PRODUCT_STATE. Defaults to STATE_VECTOR.

property sampling_method: CudaSamplingMethod

Get the simulation method currently configured for the backend.

Devuelve:

The simulation method to be used for circuit execution.

Tipo del valor devuelto:

SimulationMethod