The MZMs start to couple with each other under high magnetic fields. Moreover, the MZM lattice density and geometry are tunable by an external magnetic field. The reduced crystal symmetry leads to a drastic change in the topological band structures at the Fermi level, thus transforming the vortices into topological ones hosting MZMs and forming an ordered MZM lattice. Under a magnetic field perpendicular to the sample surface, the vortices emerge and are forced to align exclusively along the As-As CDW stripes, forming an ordered lattice. The CDW with wavevector λ 2 shows strong modulation on the superconductivity of LiFeAs. Biaxial charge density wave (CDW) stripes along the Fe-Fe and As-As directions are produced by the strain, with wavevectors of λ 1~2.7 nm and λ 2~24.3 nm. Using STM/S equipped with magnetic fields, the researchers found that local strain naturally exists in LiFeAs. In this study, the researchers observed the formation of an ordered and tunable MZM lattice in the naturally strained superconductor LiFeAs. However, these materials suffer from issues with alloying-induced disorder, uncontrollable and disordered vortex lattices, and the low yield of topological vortices, all of which hinder their further study and application. MZMs have been observed in several topologically nontrivial iron-based superconductors, such as Fe (Te 0.55Se 0.45), (Li 0.84Fe 0.16)OHFeSe, and CaKFe 4As 4. They obey non-Abelian statistics and are considered building blocks for future topological quantum computation. They are characterized by scanning tunnelling microscopy/spectroscopy (STM/S) as zero-bias conductance peaks. MZMs are zero-energy bound states confined in the topological defects of crystals, such as line defects and magnetic field-induced vortices. GAO Hongjun from the Institute of Physics of the Chinese Academy of Sciences (CAS) has reported observation of a large-scale, ordered and tunable Majorana-zero-mode (MZM) lattice in the iron-based superconductor LiFeAs, providing a new pathway towards future topological quantum computation. In a study published in Nature on June 8, a joint research team led by Prof.
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