Algorithmic approach to quantum theory 2: method of collective behavior and Monte-Carlo method

I. Semenihin; Y. Ozhigov

doi:10.1117/12.683113

31 May 2006 Algorithmic approach to quantum theory 2: method of collective behavior and Monte-Carlo method

I. Semenihin, Y. Ozhigov

Proceedings Volume 6264, Quantum Informatics 2005; 62640C (2006) https://doi.org/10.1117/12.683113
Event: Quantum Informatics 2005, 2005, Moscow, Russian Federation

Abstract

The method of collective behavior is based on the representation of real quantum particle by the swarm of classical particles which have all properties of the initial particle but have classical states like coordinates and impulse. Simulation with swarms can be more flexible and powerful than analytical methods because it preserves the methodology of classical description of dynamics. The method of collective behavior is illustrated on the diffusion Monte Carlo way of calculating stationary states of electrons.

Citation Download Citation

I. Semenihin and Y. Ozhigov "Algorithmic approach to quantum theory 2: method of collective behavior and Monte-Carlo method", Proc. SPIE 6264, Quantum Informatics 2005, 62640C (31 May 2006); https://doi.org/10.1117/12.683113

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