3.7.5. qupulse.pulses.interpolation

This module defines strategies for interpolation between points in a pulse table or similar.

Classes:

  • InterpolationStrategy: Interface for interpolation strategies.

  • LinearInterpolationStrategy: Interpolates linearly between two points.

  • HoldInterpolationStrategy: Interpolates by holding the first point’s value.

  • JumpInterpolationStrategy: Interpolates by holding the second point’s value.

Classes

HoldInterpolationStrategy()

An InterpolationStrategy that interpolates by holding the value of the start point for the entire intermediate space.

InterpolationStrategy()

Defines a strategy to interpolate values between two points.

JumpInterpolationStrategy()

An InterpolationStrategy that interpolates by holding the value of the end point for the entire intermediate space.

LinearInterpolationStrategy()

An InterpolationStrategy that interpolates linearly between two points.
class qupulse.pulses.interpolation.HoldInterpolationStrategy[source]

Bases: qupulse.pulses.interpolation.InterpolationStrategy

An InterpolationStrategy that interpolates by holding the value of the start point for the entire intermediate space.

constant_value(start: Tuple[float, float], end: Tuple[float, float]) → Optional[float][source]

The value of the interpolation if it is constant.

Parameters

  • start – The start point of the interpolation as (time, value) pair.

  • end – The end point of the interpolation as (time, value) pair.

Returns

The value of the interpolation if it is constant

evaluate_integral(t0, v0, t1, v1)[source]

Evaluate integral using arguments v0, t0, v1, t1

property expression: qupulse.expressions.sympy.ExpressionScalar

Returns a symbolic expression of the interpolation strategy using (v0,t0) and (v1, t1) to represent start and end point and t as free variable. Note that the expression is only valid for values of t between t0 and t1.

property integral: qupulse.expressions.sympy.ExpressionScalar

Returns the symbolic integral of this interpolation strategy using (v0,t0) and (v1,t1) to represent start and end point.

class qupulse.pulses.interpolation.InterpolationStrategy[source]

Bases: object

Defines a strategy to interpolate values between two points.

constant_value(start: Tuple[float, float], end: Tuple[float, float]) → Optional[float][source]

The value of the interpolation if it is constant.

Parameters

  • start – The start point of the interpolation as (time, value) pair.

  • end – The end point of the interpolation as (time, value) pair.

Returns

The value of the interpolation if it is constant

abstract evaluate_integral(t0, v0, t1, v1)[source]

Evaluate integral using arguments v0, t0, v1, t1

abstract property expression: qupulse.expressions.sympy.ExpressionScalar

Returns a symbolic expression of the interpolation strategy using (v0,t0) and (v1, t1) to represent start and end point and t as free variable. Note that the expression is only valid for values of t between t0 and t1.

abstract property integral: qupulse.expressions.sympy.ExpressionScalar

Returns the symbolic integral of this interpolation strategy using (v0,t0) and (v1,t1) to represent start and end point.

class qupulse.pulses.interpolation.JumpInterpolationStrategy[source]

Bases: qupulse.pulses.interpolation.InterpolationStrategy

An InterpolationStrategy that interpolates by holding the value of the end point for the entire intermediate space.

constant_value(start: Tuple[float, float], end: Tuple[float, float]) → Optional[float][source]

The value of the interpolation if it is constant.

Parameters

  • start – The start point of the interpolation as (time, value) pair.

  • end – The end point of the interpolation as (time, value) pair.

Returns

The value of the interpolation if it is constant

evaluate_integral(t0, v0, t1, v1)[source]

Evaluate integral using arguments v0, t0, v1, t1

property expression: qupulse.expressions.sympy.ExpressionScalar

Returns a symbolic expression of the interpolation strategy using (v0,t0) and (v1, t1) to represent start and end point and t as free variable. Note that the expression is only valid for values of t between t0 and t1.

property integral: qupulse.expressions.sympy.ExpressionScalar

Returns the symbolic integral of this interpolation strategy using (v0,t0) and (v1,t1) to represent start and end point.

class qupulse.pulses.interpolation.LinearInterpolationStrategy[source]

Bases: qupulse.pulses.interpolation.InterpolationStrategy

An InterpolationStrategy that interpolates linearly between two points.

constant_value(start: Tuple[float, float], end: Tuple[float, float]) → Optional[float][source]

The value of the interpolation if it is constant.

Parameters

  • start – The start point of the interpolation as (time, value) pair.

  • end – The end point of the interpolation as (time, value) pair.

Returns

The value of the interpolation if it is constant

evaluate_integral(t0, v0, t1, v1)[source]

Evaluate integral using arguments v0, t0, v1, t1

property expression: qupulse.expressions.sympy.ExpressionScalar

Returns a symbolic expression of the interpolation strategy using (v0,t0) and (v1, t1) to represent start and end point and t as free variable. Note that the expression is only valid for values of t between t0 and t1.

property integral: qupulse.expressions.sympy.ExpressionScalar

Returns the symbolic integral of this interpolation strategy using (v0,t0) and (v1,t1) to represent start and end point.