Markovian Master Equation and Uncorrelated States

In summary, the Markovian master equation for a weakly coupled system+environment scenario is derived using the equation \frac{\partial}{\partial t} P \rho(t) = \alpha^2 \int_{t_0}^t P L(t) L(s) P \rho(s) ds. This equation involves the coupling strength \alpha, the initial environment state \rho_B, the identity superoperator \mathcal I, and the Liouvillian of the system L which satisfies L(t)\rho = -i[H_I(t), \rho(t)] where H is the interaction Hamiltonian. It is shown that in the weak coupling limit, the states do not become entangled and remain uncorrelated for all
  • #1
Kreizhn
743
1

Homework Statement


In deriving the Markovian master equation for a weakly coupled system+environment scensario, we have
[tex] \frac{\partial}{\partial t} P \rho(t) = \alpha^2 \int_{t_0}^t P L(t) L(s) P \rho(s) ds [/tex]
where [itex] \alpha [/itex] is the coupling strenght, [itex] P\rho = \left( \mathrm{Tr} \rho \right) \otimes \rho_B [/itex] for [itex] \rho_B [/itex] the initial environment state, [itex] Q\rho = (\mathcal I - P ) \rho [/itex] for [itex] \mathcal I [/itex] the identity superoperator, and L the Liouvillian of the system satisfying [itex] L(t)\rho = -i[H_I(t), \rho(t)] [/itex] where H is the interaction Hamiltonian. My goal is to show that with the knowledge, if we have an initially uncorrelated state
[tex] \rho(t_0) = \rho_A(t_0) \otimes \rho_B(t_0) [/tex]
then the state remains uncorrelated for all time [itex] t \geq 0 [/itex]

The Attempt at a Solution


This pre-master equation comes from the fact that we've assumed the propagator [itex] G(s,t) = \mathrm{exp}\left[ \alpha \int_s^t QL(\tau) d\tau \right] [/itex] is approximated by identity (which occurs in the weak coupling limit). I need to show that in this weak coupling limit, the states do not become entangled (intuitively reasonable), though I can't think of how to show that the evolution according to the above differo-integral equation keeps the states uncorrelated.
 
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  • #2
Nobody has any ideas?
 
  • #3
Well, this is just an idea but; you might try showing that [tex]\rho(t) = \rho_A(t) \otimes \rho_B(t) [/tex] is a solution, and then perhaps see if there might be some uniqueness theorem you could appeal to that guarantees it's the only solution given the initial condition [tex]\rho(t_0) = \rho_A(t_0) \otimes \rho_B(t_0)[/tex]
 

FAQ: Markovian Master Equation and Uncorrelated States

What is the Markovian Master Equation?

The Markovian Master Equation is a mathematical equation used to describe the time evolution of a quantum system consisting of two or more interacting subsystems. It is based on the principles of Markovian dynamics, which assumes that the current state of the system is only dependent on the immediately preceding state.

How is the Markovian Master Equation derived?

The Markovian Master Equation is derived from the principles of quantum mechanics and the theory of open quantum systems. It takes into account the interactions between the system and its environment, and describes how the system changes over time as a result of these interactions.

What is the significance of uncorrelated states in the Markovian Master Equation?

Uncorrelated states refer to the assumption that the initial state of the system is not correlated with the environment. This assumption allows for the simplification of the Markovian Master Equation, making it easier to solve and analyze.

How is the Markovian Master Equation different from other master equations?

The Markovian Master Equation is specifically designed to describe open quantum systems, which are systems that interact with their environment. Other master equations, such as the Lindblad master equation, are more general and can describe both open and closed quantum systems.

What are some real-world applications of the Markovian Master Equation?

The Markovian Master Equation has a wide range of applications in fields such as quantum computing, quantum optics, and quantum chemistry. It is also used in the study of biological processes, such as photosynthesis, and in understanding the behavior of complex systems in statistical mechanics.

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