Decoherence of Topological Qubit in Linear Motions

Decoherence Impedance, Anti-Unruh and Information Backflow

Pei Hua Liu, Feng Li Lin

Research output: Contribution to journalConference article

Abstract

In this work we study the decoherence of topological qubits in linear motions. The topological qubit is made of two spatially-separated Majorana zero modes which are the edge excitations of Kitaev chain [1]. In a previous work [2], it was shown by one of us and his collaborators that the decoherence of topological qubit is exactly solvable, moreover, topological qubit is robust against decoherence in the super-Ohmic environments. We extend the setup of [2] to consider the effect of motions on the decoherence of the topological qubits. Our results show the thermalization as expected by Unruh effect. Besides, we also find the so-called "anti-Unruh" phenomena which shows the rate of decoherence is anti-correlated with the acceleration in short-time scale. Moreover, we modulate the motion patterns of each Majorana modes and find information backflow and the preservation of coherence even with nonzero accelerations. This is the characteristics of the underlying non-Markovian reduced dynamics. We conclude that he topological qubit is in general more robust against decoherence than the usual qubits, and can be take into serious consideration for realistic implementation to have robust quantum computation and communication. This talk is based on our work in [3].

Original languageEnglish
Article number012012
JournalJournal of Physics: Conference Series
Volume883
Issue number1
DOIs
Publication statusPublished - 2017 Aug 24
Event6th IF+YITP International Symposium on Superstring Theory, the Quantum Theory of Fields, Gravity, Cosmology, and Related Topics - Phitsanulok, Thailand
Duration: 2016 Aug 32016 Aug 5

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Decoherence of Topological Qubit in Linear Motions : Decoherence Impedance, Anti-Unruh and Information Backflow. / Liu, Pei Hua; Lin, Feng Li.

In: Journal of Physics: Conference Series, Vol. 883, No. 1, 012012, 24.08.2017.

Research output: Contribution to journalConference article

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