Difference between revisions of "Propagator.m"

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{{DISPLAYTITLE:function.m}}
 
{{DISPLAYTITLE:function.m}}
Calculates exponential propagator exp(-1i*L*timestep) using scaled and squared Taylor series method.
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Calculates exponential propagator exp(-i*L*timestep) using scaled and squared Taylor series method.
  
 
==Syntax==
 
==Syntax==

Revision as of 15:26, 27 August 2018

Calculates exponential propagator exp(-i*L*timestep) using scaled and squared Taylor series method.

Syntax

    P=propagator(spin_system,L,timestep)

Arguments

   L          -  Hamiltonian or Liouvillian matrix

   timestep   -  propagation time step

Outputs

   P          -  propagator matrix

Notes

  1. GPUs are supported, add 'gpu' to sys.enable array during calculation setup.
  2. Propagator caching (https://doi.org/10.1063/1.4928978) is supported, add 'caching' to sys.enable array during calculation setup.
  3. We did have Chebyshev and Newton series here at one point, as well as the Pade method. None of them lived up to their marketing.

See also

evolution.m, krylov.m, step.m, shaped_pulse_af.m, shaped_pulse_xy.m, equilibrium.m


Version 2.2, authors: Ilya Kuprov, Luke Edwards