Algorithm of the numerical decision of stochastic Shrodinger equation.

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SUMMARY

The discussion focuses on finding algorithms for the numerical solution of the stochastic Schrödinger equation with a zero average and delta-correlated potential in both space and time. The equation is defined as i*a*dF/dt - b*nabla*F - U*F = 0, where U represents a stochastic potential characterized by a delta-function correlation. Quantum Monte Carlo methods, particularly Diffusion Monte Carlo (DMC), are highlighted as effective techniques for solving high-dimensional integrals related to this equation.

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Alexey
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Prompt please where it is possible to find algorithm of the numerical decision of stochastic Shrodinger equation with casual potential having zero average and delta – correlated in space and time?

The equation:
i*a*dF/dt b*nabla*F-U*F=0

where
i - imaginary unit,
d/dt - partial differential on time,
F=F (x, t) - required complex function,
nabla - Laplas operator,
U=U (x, t)- stochastic potential.
Delta-correlated potential <U(x,t)U(x`,t`)>=A*delta(x-x`) *delta(t-t`) .
where delta - delta-function of Dirack, A – const, <> - simbol of average,
Zero average: <U(x,t)>=0
Gaussian distributed P(U)=C*exp(U^2/delU^2)
Where C, delU - constants.
 
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Quantum Monte Carlo methods are used to solve high dimensional integrals... In Diffusion Monte Carlo (DMC), one rewrites the Schrödinger equation in Integral form. This integral is then solved stochastically.
 

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