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Gaussian

class Gaussian(duration, amp, sigma, name=None)

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A truncated pulse envelope shaped according to the Gaussian function whose mean is centered at the center of the pulse (duration / 2):

f(x)=ampexp((1/2)(xduration/2)2/sigma2)),0<=x<durationf(x) = amp * exp( -(1/2) * (x - duration/2)^2 / sigma^2) ) , 0 <= x < duration

Initialize the gaussian pulse.

Parameters

  • duration (int) – Pulse length in terms of the the sampling period dt.
  • amp (complex) – The amplitude of the Gaussian envelope.
  • sigma (float) – A measure of how wide or narrow the Gaussian peak is; described mathematically in the class docstring.
  • name (Optional[str]) – Display name for this pulse envelope.

Attributes

amp

Type: complex

The Gaussian amplitude.

Return type

complex

id

Type: int

Unique identifier for this pulse.

Return type

int

parameters

Type: Dict[str, Any]

Return a dictionary containing the pulse’s parameters.

Return type

Dict[str, Any]

sigma

Type: float

The Gaussian standard deviation of the pulse width.

Return type

float


Methods

__call__

Gaussian.__call__(channel)

Call self as a function.

draw

Gaussian.draw(dt=1, style=None, filename=None, interp_method=None, scale=1, interactive=False, scaling=None)

Plot the pulse.

Parameters

  • dt (float) – Time interval of samples.
  • style (Optional[PulseStyle]) – A style sheet to configure plot appearance
  • filename (Optional[str]) – Name required to save pulse image
  • interp_method (Optional[Callable]) – A function for interpolation
  • scale (float) – Relative visual scaling of waveform amplitudes
  • interactive (bool) – When set true show the circuit in a new window (this depends on the matplotlib backend being used supporting this)
  • scaling (Optional[float]) – Deprecated, see scale

Returns

A matplotlib figure object of the pulse envelope

Return type

matplotlib.figure

get_sample_pulse

Gaussian.get_sample_pulse()

Return a SamplePulse with samples filled according to the formula that the pulse represents and the parameter values it contains.

Return type

SamplePulse

validate_parameters

Gaussian.validate_parameters()

Validate parameters.

Raises

PulseError – If the parameters passed are not valid.

Return type

None

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