colored_noise_simulationΒΆ

Classes

AverageSample

The trajectory-averaged dynamics in a colored noise simulation corresponding to a single sample time.

Drift

Either a static or a noisy Hamiltonian term for the colored noise simulation calculation.

Drive

A (possibly noisy) complex control term for the colored noise simulation calculation of the form \(\left(1 + \beta_{\gamma_{j}}(t) \right) \left(\gamma_{j}(t) C_{j} + \text{H.c.} \right)\), where \(C_{j}\) is a non-Hermitian operator, \(\gamma_{j}(t)\) is a complex-valued piecewise-constant function between 0 and \(\tau\), and \(\beta_{\gamma_{j}}(t)\) is the amplitude of its noise.

Noise

The noise amplitude \(\beta(t)\) associated to a Hamiltonian term.

NoiseRealization

A single random realization of a noise amplitude \(\beta_{\mu}(t)\) as a piecewise-constant function between 0 and \(\tau\).

NoiseRealizationSegment

A segment of a noise realization as a piecewise-constant function of time.

Result

The result of the colored noise simulation.

ResultScope

Configuration for the scope of the returned data.

Sample

A result of a colored noise simulation realization corresponding to a single sample time.

Shift

A (possibly noisy) real control term for the colored noise simulation calculation of the form \(\left(1 + \beta_{\alpha_{k}}(t) \right) \alpha_{k}(t) A_{k}\), where \(A_{k}\) is a Hermitian operator, \(\alpha_{k}(t)\) is a real-valued piecewise-constant function between 0 and \(\tau\), and \(\beta_{\alpha_{k}}(t)\) is the amplitude of its noise.

Trajectory

A single trajectory of a colored noise simulation, corresponding to a realization of all noise processes.