Login / Signup

Classification and characterization of nonequilibrium Higgs modes in unconventional superconductors.

L SchwarzB FausewehN TsujiN ChengN BittnerH KrullM BerciuG S UhrigA P SchnyderStefan KaiserD Manske
Published in: Nature communications (2020)
Recent findings of new Higgs modes in unconventional superconductors require a classification and characterization of the modes allowed by nontrivial gap symmetry. Here we develop a theory for a tailored nonequilibrium quantum quench to excite all possible oscillation symmetries of a superconducting condensate. We show that both a finite momentum transfer and quench symmetry allow for an identification of the resulting Higgs oscillations. These serve as a fingerprint for the ground state gap symmetry. We provide a classification scheme of these oscillations and the quench symmetry based on group theory for the underlying lattice point group. For characterization, analytic calculations as well as full scale numeric simulations of the transient optical response resulting from an excitation by a realistic laser pulse are performed. Our classification of Higgs oscillations allows us to distinguish between different symmetries of the superconducting condensate.
Keyphrases
  • deep learning
  • machine learning
  • molecular dynamics
  • working memory
  • high frequency
  • high speed
  • high resolution
  • molecular dynamics simulations
  • energy transfer
  • blood brain barrier
  • quantum dots