Phase-space algorithm for simulating quantum nonlinear response functions of bosons using stochastic classical trajectories.
نویسندگان
چکیده
Using the positive P-representation of the density matrix, we develop an algorithm for calculating the quantum many-body nonlinear response functions of a system of bosons driven impulsively by external fields. The formalism maps the quantum time evolution of N boson degrees of freedom into a stochastic dynamics of 4N classical degrees of freedom. The first- and the third-order response functions are calculated by propagating the parameters of the P-representation using a set of coupled Langevin equations with multiplicative noise. These parameters serve as classical variables. Two classical ways for computing the response functions are presented. In the nonequilibrium method, an observable is calculated for weak impulsive pulses, and the response functions are obtained by taking its derivatives with respect to the pulse amplitudes. In the alternative, equilibrium simulation, the response functions are expressed in terms of time-correlation functions involving the P-representation parameters and stability matrices representing the perturbation of the trajectories. The stability matrices can be propagated simultaneously with the Langevin equations for the parameters. The formalism is generalized for a many-body boson system coupled to a harmonic bath.
منابع مشابه
M ay 2 00 9 Representation of quantum dynamics of interacting systems through classical trajectories
We formulate representation of quantum dynamics of many-particle interacting systems through classical trajectories as a perturbative expansion in quantum fluctuations around the classical limit. We explicitly consider three different classical limits in the coordinate-momentum representation (corpuscular classical limit), coherent state representation (wave classical limit), and the classical ...
متن کاملProviding a Bird Swarm Algorithm based on Classical Conditioning Learning Behavior and Comparing this Algorithm with sinDE, JOA, NPSO and D-PSO-C Based on Using in Nanoscience
There can be no doubt that nanotechnology will play a major role in our futuretechnology. Computer science offers more opportunities for quantum andnanotechnology systems. Soft Computing techniques such as swarm intelligence, canenable systems with desirable emergent properties. Optimization is an important anddecisive activity in structural designing. The inexpensive re...
متن کاملAdaptive kernel methods to simulate quantum phase space flow
A technique for simulating quantum dynamics in phase space is discussed. It makes use of ensembles of classical trajectories to approximate the distribution functions and their derivatives by implementing Adaptive Kernel Density Estimation. It is found to improve the accuracy and stability of the simulations compared to more conventional particle methods. Formulation of the method in higher dim...
متن کاملTrotter-based simulation of quantum-classical dynamics.
Quantum rate processes in condensed phase systems are often computed by combining quantum and classical descriptions of the dynamics. An algorithm for simulating the quantum-classical Liouville equation, which describes the dynamics of a quantum subsystem coupled to a classical bath, is presented in this paper. The algorithm is based on a Trotter decomposition of the quantum-classical propagato...
متن کاملPhase-Space Methods for Fermions
Phase-space representations first arose from the attempt to describe quantum mechanics in terms of distributions over classical variables [1]. For example, Wigner introduced a function of phase-space variables W(x, p) that would classically correspond to a joint-probability distribution: an integration over x gives the marginal distribution for p and vice-versa. However in quantum mechanics, su...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Physical review. E, Statistical, nonlinear, and soft matter physics
دوره 82 4 Pt 2 شماره
صفحات -
تاریخ انتشار 2010