paraqeet.signal.waveform.LocalOscillator

class paraqeet.signal.waveform.LocalOscillator(frequency=None)

Bases: Waveform

A local oscillators carrier signal.

_lo_freqQuantity

The frequency of the carrier signal.

Parameters:

frequency (Quantity | None)

__init__(frequency=None)

Parameters:

frequency (Quantity | None)

Return type:

None

Methods

__init__([frequency])
get_parameters()	Return device parameters.
get_time_and_parameter_gradient(times)	Compute the double derivative with respect to parameter and time.
get_time_gradient(times)	Compute a signals time derivative.
get_value(times)	Evaluate a carrier signal from an input time vector.
get_value_and_gradient(times)	Return the gradient wrt to frequency of carrier signal.
set_all_optimizable_parameters(all_params)	Set all optimizable parameters in the optimization.
set_optimizable_parameters(params)	Set optimizable parameters for optimization.

Attributes

all_optimizable_parameters	Get the optimizable parameters
frequency	Get The frequency of the constant oscillating tone.
name	Get the name of the parameter.
optimizable_parameters	Get the optimizable parameters

property all_optimizable_parameters: list[Quantity]

Get the optimizable parameters

Returns:

The list of all the optimizable parameters considered in the optimization

Return type:

list[Quantity]

property frequency: Quantity

Get The frequency of the constant oscillating tone.

Returns:

The frequency of the tone.

Return type:

Quantity

get_parameters()

Return device parameters.

Returns:

Returns the carrier signal frequency.

Return type:

list[Quantity]

get_time_and_parameter_gradient(times)

Compute the double derivative with respect to parameter and time.

This function computes $\frac{\partial^2 \Omega}{\partial t \partial alpha}$ for a pulse $\Omega(t)$ and parameter $\alpha$.

Parameters:

times (Array) – One-dimensional vector of timestamps.

Returns:

Returns a vector signals time derivative.

Return type:

Array

get_time_gradient(times)

Compute a signals time derivative.

Parameters:

times (Array) – One-dimensional vector of timestamps.

Returns:

Returns a vector signals time derivative.

Return type:

Array or JitWrapped

get_value(times)

Evaluate a carrier signal from an input time vector.

Parameters:

times (Array) – One-dimensional vector of timestamps.

Returns:

Returns a vector carrier signal.

Return type:

Array

get_value_and_gradient(times)

Return the gradient wrt to frequency of carrier signal.

Parameters:

times (Array) – Array of time points to evaluate gradients at.

Returns:

Gradient of tone wrt to frequency.

Return type:

Array

property name: str | None

Get the name of the parameter.

Returns:

Name of the parameter.

Return type:

str | None

property optimizable_parameters: list[Quantity]

Get the optimizable parameters

Returns:

The list of optimizable parameters associated with the object.

Return type:

list[Quantity]

set_all_optimizable_parameters(all_params)

Set all optimizable parameters in the optimization.

Parameters:

• params (List[Quantity]) – List of optimizable parameters to be set.

• all_params (list[Quantity])

Return type:

None

set_optimizable_parameters(params)

Set optimizable parameters for optimization.

Parameters:

params (list[Quantity]) – Input list of parameters to be set.

Return type:

None