PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 23, 2026Chinese Journal of Chemical Physics0 citations

Fermionic influence superoperator for transport through majorana zero modes

View Full Paper
JPJ. PanZZZi-Fan ZhuSCShixuan Chen

Key Points

  • This research aims to develop a fermionic superoperator for studying electron transport through Majorana zero modes.
  • Derived a fermionic superoperator for open quantum dynamics.
  • Implemented the hierarchical equations of motion (HEOM) for system-bath dynamics.
  • Developed a functional derivative scheme for transport observables in HEOM.
  • Established a theoretical foundation for analyzing transport signatures in Majorana physics.
  • Provided exact expressions for transport observables using auxiliary density operators.

Abstract

In recent years, the study of Majorana signatures in quantum transport has become acentral focus in condensed matter physics. Here, we present a rigorous and systematic derivation of the fermionic superoperator describing the open quantum dynamics of electron transport through Majorana zero modes, building on the techniques introduced in Phys. Rev. B 105, 035121 (2022). The numerical implementation of this super-operator is to construct its differential equivalence, the hierarchical equations of motion (HEOM). The HEOM approach describes the system-bath correlated dynamics. Furthermore, we also develop a functional derivative scheme that provides exact expressions for the transport observables in terms of the auxiliary density operators introduced in the HEOM formulation. The superoperator formalism establishes a solid theoretical foundation for analyzing key transport signatures that may uncover the unique characteristics of Majorana physics in mesoscopic systems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Pan et al. (2025) studied this question.

synapsesocial.com/papers/69730f9fc8125b09b0d1f59bhttps://doi.org/10.1063/1674-0068/cjcp2509147
Ask AI
Helpful
Bookmark
Share
View Full Paper