Algorithm of the numerical decision of stochastic Shrodinger equation.

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The discussion focuses on finding algorithms for numerically solving the stochastic Schrödinger equation with a zero average and delta-correlated potential. The equation presented involves complex functions and stochastic potentials, emphasizing the need for a solution that accounts for these specific conditions. Quantum Monte Carlo methods, particularly Diffusion Monte Carlo (DMC), are highlighted as effective approaches for solving high-dimensional integrals related to the Schrödinger equation. The DMC method involves rewriting the equation in integral form and solving it stochastically. This approach is suggested as a viable path for addressing the posed problem.
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 Schrodinger equation in Integral form. This integral is then solved stochastically.
 
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