paraqeet.propagation.euler.Euler#

class paraqeet.propagation.euler.Euler(model, resolution=1000000000.0)#

Bases: Propagation

Simple implementation of first order Euler propagation.

Solves the equation of motion d/dt psi(t) = F(psi(t), t) with a finite step size d as psi(t+d) = psi(t) + F(psi(t), t). The step size can be variable and is calculated from the time array that is passed to the propagate function.

Parameters:

model (Model) – Represents the equation of motion for a given Hamiltonian.
resolution (float)

__init__(model, resolution=1000000000.0)#

Parameters:

model (EquationOfMotion)
resolution (float)

Methods

`__init__`(model[, resolution])
`get_parameters`()	Get a list of parameters of the system.
`propagate`(time)	Calculate the first order Euler propagation.
`set_initial_state`(state)	Set the initial state for the propagation.

Attributes

`is_open`	Return if the propagation is for open or closed system.
`resolution`	Return the propagation resolution.

get_parameters()#

Get a list of parameters of the system.

Returns:: List of optimizable parameters of the system.
Return type:: list[Quantity]

property is_open: bool#: Return if the propagation is for open or closed system.

propagate(time)#

Calculate the first order Euler propagation.

Performs the actual propagation calculation.

Parameters:: time (Array) – Vector of time samples.
Returns:: Results of the Euler propagation.
Return type:: Array

property resolution: float#: Return the propagation resolution.

set_initial_state(state)#

Set the initial state for the propagation. (Default implementation)

Propagation implementations that do not need the state should not implement this function.

Subclasses can access the state in the _initial_sate field.

Parameters:: state (Array) – Parameter value to be set as the initial state for the propagation.