Quantum Monte-Carlo for Non-Markovian Dynamics Collaborator : Denis Lacroix Guillaume Hupin GANIL,...
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![Page 1: Quantum Monte-Carlo for Non-Markovian Dynamics Collaborator : Denis Lacroix Guillaume Hupin GANIL, Caen FRANCE Exact TCL2 (perturbation) TCL4 NZ2.](https://reader030.fdocuments.in/reader030/viewer/2022032708/56649e6c5503460f94b6bfef/html5/thumbnails/1.jpg)
Quantum Monte-Carlo for Non-Markovian Dynamics
Quantum Monte-Carlo for Non-Markovian Dynamics
Collaborator : Denis Lacroix
Guillaume Hupin
GANIL, Caen FRANCE
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Overview
1. Motivation in nuclear physics : Fission and
Fusion.
2. Non-Markovian effects : Projective methods.
3. Quantum Monte-Carlo.
4. Applications :
A.To the spin-star model.B.To the spin-boson model.C. In the Caldeira Leggett model.
Environment
System
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Physics case : fission
Environment
Nucleons response thermal bath. Fast motion vs fission decay.
—› Markovian
H. Goutte, J. F. Berger, P. Casoli, Phys. Rev. C 71 (2005)
System:
and
potential
Environment:
Nucleons (intrinsic)
motion
Coupling:
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Physical case : fusion
Different channels are opened in a fusion reaction :
Microscopic evolution can be mapped to an open quantum system.
K.Washiyama et al., Phys. Rev. C 79, (2009)
System : relative
distance.Environment : nucleon
motion, other degrees of
freedom (deformation…).
Environment
Relative distance.
=> Non-Markovian effects are expected.
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Motivations
Non-Markovian.Markovian.
Q Q
Environment
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The total Hamiltonian written as
(S) is the system of interest coupled to (E). (E) is considered as a
general environment.
Exact Liouville von Neumann equation.
The environment has too many degrees of freedom.
Framework
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Standard approaches : projective methods
Therefore, use projective methods to “get rid” of
(E).
First, define two projection operators on (S)
and (E). Project the Liouville equation on the two subspace.
System
Environment
Exact evolution
System
System only evolution
Envi
ronm
ent
I = interaction picture
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Standard approaches : projective methods
H. Breuer and F. Petruccione, The Theory of Open Quantum Systems (Oxford University Press, Oxford, 2002)
Nakajima-Zwanzig’s method (NZ).
The equation of motion of the system is closed up to a given order in interaction.
Time Convolution Less method (TCL).t ts
Time non local method : mixes order of perturbation. (NZ2, NZ4..)
Time local method : order of the perturbation under control. (TCL2, TCL4 …)
s
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Comparison between projective techniques
TCL4 is in any case a more accurate method.
Q
In the Caldeira-Leggett model: an harmonic oscillator coupled to a heat bath.
ExactNZ2NZ4ExactTCL2 (perturbation)
TCL4
Using a Drude spectral density:
G.Hupin and D. Lacroix, Phys. Rev. C 81, (2010)
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New approach : Quantum Monte Carlo
The exact dynamics is replaced by a number of stochastic paths to simulate the exact evolution in average.
Noise designed to account for the coupling.D is complicated : The
environment has too many degrees of freedom.
t0 t
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Exact Liouville von Neumann equation.
Theoretical framework
Stochastic Master Equations (SME).
D. Lacroix, Phys. Rev. E 77, (2008)
Other stat. moments are equal to 0.
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Theoretical framework : proof
SME Proof :
Using our Stochastic Master Equations.
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SME has its equivalent Stochastic Schrödinger Equation
Deterministic evolution
Stochastic Schrödinger equation (SSE):
…
Leads to the equivalence :
Independence of the statistical moments :
L.Diosi and W.T. Strunz Phys. Lett. A 255 (1997)M.B. Plenio and P.L. Knight, Rev. Mod. Phys. 70 (1998)J.Piilo et al., PRL 100 (2008)A. Bassi and L. Ferialdi PRL 103 (2009),Among many others…..
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Application of the SSE to spin star model
A Monte-Carlo
simulation is exact
only when the
statistical
convergence is
reached.
Statistical fluctuation :
Noise optimized.
1000 Trajectories
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Including the mean field solution
Take the density as
separable :
Position &
momentum : ok
Width : not ok
Then, take the
Ehrenfest evolution :
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Mean field + QMC
Evolution of the
statistical fluctuation
have been reduced
using an optimized
deterministic part in
the SME.
D. Lacroix, Phys. Rev. A 72, (2005)
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Projected Quantum Monte-Carlo + Mean-Field
Exact evolution
System
Stochastic trajectories
Envi
ronm
ent
The environment response is contained in :
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Link with the Feynman path integral formalism
J. T. Stockburger and H. Grabert, Phys. Rev. Lett. 88, (2002)
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Application to the spin boson model
This method has been applied to spin boson model.
Exact (stochastic)
TCL2
Second successful test.
A two level system interacting with a boson bath
D. Lacroix, Phys. Rev. E 77, (2008)
Y. Zhou , Y. Yan and J. Shao, EPL 72 (2005)
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Application to the problems of interest
EnvironmentFission/fusion
processes
The potential is first locally approximated by parabola.
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Benchmark in the Caldeira-Leggett model
QMC. Exact.
Convergence is achieved for second moments for different temperatures. with an acceptable time of calculation. with a limited number of trajectories (≈104 ).
Second moment evolution. Q
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Observables of interest
Exact. Quantum Monte Carlo.
E
Projection 2nd order in interaction.Projection 4nd order in interaction.
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Passing probability
Accuracy of MC
simulations is
comparable to the fourth
order of projection.
Accuracy of such
calculations are of
interest for very heavy
nuclei.
Markovian approximation
2nd order in perturbation TCL
4th order in perturbation TCL
Monte Carlo
Exact
E
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Summary
It has been pointed out that TCL4 should be preferred.
New theory based on Monte Carlo technique has been
applied and tested for simple potentials.
This study shows that the new method is effective.
Now, the new technique Monte-Carlo+Mean-Field should
be applied to more general potentials.
Critical issue: diverging path
Possible solutions : Remove the diverging trajectories.Semi-classic approximations : Initial Value Methods
C. Gardiner, “A Handbook of Stochastic Methods”
W. Koch et al. , PRL 100 (2008)