2014
DOI: 10.1103/physreve.90.063309
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Numerical solutions of the Schrödinger equation with source terms or time-dependent potentials

Abstract: We develop an approach to solving numerically the time-dependent Schrödinger equation when it includes source terms and time-dependent potentials. The approach is based on the generalized Crank-Nicolson method supplemented with an Euler-MacLaurin expansion for the time-integrated nonhomogeneous term. By comparing the numerical results with exact solutions of analytically solvable models, we find that the method leads to precision comparable to that of the generalized Crank-Nicolson method applied to homogeneou… Show more

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Cited by 10 publications
(8 citation statements)
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“…The method we use to solve the TDSE is based on Ref. 33. The Schrödinger equation that is solved is defined as…”
Section: Time Propagatormentioning
confidence: 99%
“…The method we use to solve the TDSE is based on Ref. 33. The Schrödinger equation that is solved is defined as…”
Section: Time Propagatormentioning
confidence: 99%
“…The time propagation of a Schrödinger-like equation with a source term has been investigated in Ref. [78] where higher-order approximations with smaller time-step errors have been developed. A more detailed discussion of the time propagation of the RS vector can be found in Ref.…”
Section: A the Rs Vector And Maxwell's Equationsmentioning
confidence: 99%
“…20,20] and solve the problem from t = 0 to t = T = 1 with the solution on the boundary equal to zero [27]. The exact solution is 6) which is also used to determine the initial wave function. It should be noted that wave function (4.6) is square integrable and is an energy eigenstate with energy − 2 /(2m).…”
Section: A Errorsmentioning
confidence: 99%
“…The "method of choice" for some years is the Chebyshev polynomial expansion of the timeevolution operator with (inverse) Fourier transformations to deal with the spatial development as time progresses [1,2]. More recently the Padé approximant representation of the time-evolution operator is exploited [3][4][5][6][7]. This approach is unitary, stable, and allows for systematic estimate of errors in terms of powers of the temporal and spatial step sizes.…”
Section: Introductionmentioning
confidence: 99%