EmulatorConfig

class pulser.backend.EmulatorConfig(backend_options=<factory>, sampling_rate=1.0, evaluation_times='Full', initial_state='all-ground', with_modulation=False, prefer_device_noise_model=False, noise_model=<factory>)

Bases: BackendConfig

The configuration for emulator backends.

Warning

This class will be deprecated in favor of EmulationConfig once all backends migrate to it.

Parameters:

• backend_options (dict[str, Any], default: <factory>) – A dictionary of backend-specific options.

• sampling_rate (float, default: 1.0) – The fraction of samples to extract from the pulse sequence for emulation.

• evaluation_times (float | Sequence[float] | Literal['Full', 'Minimal', 'Final'], default: 'Full') –

  The times at which results are returned. Choose between:

  • ”Full”: The times are set to be the ones used to define the Hamiltonian to the solver.

  • ”Minimal”: The times are set to only include initial and final times.

  • ”Final”: Returns only the result at the end of the sequence.

  • A list of times in µs if you wish to only include those specific times.

  • A float to act as a sampling rate for the resulting state.

• initial_state (Literal['all-ground'] | Sequence[complex] | ndarray, default: 'all-ground') –

  The initial state from which emulation starts. Choose between:

  • ”all-ground” for all atoms in the ground state

  • An array of floats with a shape compatible with the system

• with_modulation (bool, default: False) – Whether to emulate the sequence with the programmed input or the expected output.

• prefer_device_noise_model (bool, default: False) – If the sequence’s device has a default noise model, this option signals the backend to prefer it over the noise model given with this configuration.

• noise_model (NoiseModel, default: <factory>) – An optional noise model to emulate the sequence with. Ignored if the sequence’s device has default noise model and prefer_device_noise_model=True.

Attributes

evaluation_times
initial_state
prefer_device_noise_model
sampling_rate
with_modulation
backend_options
noise_model