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From the 1 of 25 papers with an AI index.

most citedTutorial: Gate-based superconducting quantum computing

119 citations

25 papers

cond-mat.str-el2026

Volatile resistive-switched state in a bulk organic conductor with a sharp metal-insulator transition

Riku Ishii, Ryo Motohashi, Keitaro Tada +6

Volatile resistive switching in correlated-electron systems, characterized by an abrupt resistance decrease under applied current, is crucial for developing next-generation electro…

cond-mat.supr-con2026

Bridging ambient- and high-pressure superconductivity in LaLnNiO films

Motoki Osada, Chieko Terakura, Shusaku Imajo +9

The discovery of high critical-temperature superconductivity near 80 K in bilayer nickelates under high pressure has sparked extensive studies. While superconducti…

cond-mat.supr-con2026

Quadrupolar phase transition in superconducting lanthanum hydride

Abhishek Raghav, Kousuke Nakano, Marco Cherubini +2

Lanthanum hydride (LaH) has been widely studied for its high superconducting critical temperature of 250 K at about 170 GPa pressure. Although the structural -t…

cond-mat.str-el20261 cited

Dissipationless dynamics of spin supersolid states in a spin-1/2 triangular antiferromagnet with impurities

Yixuan Huang, Yuan Gao, Wei Li +2

The paper numerically studies how magnetic impurities affect the low‑energy excitations of spin‑supersolid phases in a spin‑1/2 easy‑axis triangular antiferromagnet, showing that t…

cond-mat.mes-hall20264 cited

Evidence for spin swapping from modulation of transverse resistance in magnetic heterostructures with Rashba interface

Heeman Kim, Shutaro Karube, Juan Borge +3

We investigate the transverse response under the out-of-plane magnetic field for magnetic heterostructures with Cu/Bi2O3 or Ag/Bi2O3 Rashba interfaces. We detect opposite contribut…

cond-mat.mtrl-sci2026

Interpretable machine learning of magnetic transition temperature in Heusler magnets via hierarchical dependence extraction

Jean-Baptiste Morée, Ryotaro Arita, Juba Bouaziz

We employ interpretable machine learning to analyze the material dependence of the magnetic transition temperature in ferromagnetic and ferrimagnetic Heusler compounds. For o…