Optimizing quantum teleportation and dense coding via mixed noise under non-Markovian approximation
A Islam, AM Wang, A Abliz - International Journal of Theoretical Physics, 2021 - Springer
A Islam, AM Wang, A Abliz
International Journal of Theoretical Physics, 2021•SpringerPhysicists are attracted to open-system dynamics, how quantum systems evolve, and how
they can be protected from unnecessary environmental noise, especially when
environmental memory effects are non-negligible, as with non-Markovian approximations.
There are several methods to solve the master equation of non-Markovian cases and we
obtain the solutions of the quantum-state-diffusion equation for a two-qubit system using the
perturbation method under the influence of various types of environmental noise, including …
they can be protected from unnecessary environmental noise, especially when
environmental memory effects are non-negligible, as with non-Markovian approximations.
There are several methods to solve the master equation of non-Markovian cases and we
obtain the solutions of the quantum-state-diffusion equation for a two-qubit system using the
perturbation method under the influence of various types of environmental noise, including …
Abstract
Physicists are attracted to open-system dynamics, how quantum systems evolve, and how they can be protected from unnecessary environmental noise, especially when environmental memory effects are non-negligible, as with non-Markovian approximations. There are several methods to solve the master equation of non-Markovian cases and we obtain the solutions of the quantum-state-diffusion equation for a two-qubit system using the perturbation method under the influence of various types of environmental noise, including relaxation noise, dephasing noise and their mixture. It was found that by inducing dephasing noise into the relaxation process strengthens the correlation between qubits by restoring the entanglement lost in the environment, thereby making it possible to optimize quantum teleportation fidelity and dense coding capacity via mixed noise under non-Markovian approximation.
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