Data files for "Optimizing the Critical Temperature and Superfluid Density of a Metal-Superconductor Bilayer" by Y Zhang et al (2025)

Data for Optimizing the Critical Temperature and Superfluid Density of a Metal-Superconductor Bilayer by Yutan Zhang, Philip M. Dee, Benjamin Cohen-Stead, Thomas A. Maier, Steven Johnston, and Richard Scalettar. Abstract: A promising path to realizing higher superconducting transition temperatures $T_c$ is the strategic engineering of artificial heterostructures. For example, quantum materials exhibiting some but not all of the characteristics necessary for a robust superconducting state could, in principle, be coupled with other materials in a way that alleviates their intrinsic shortcomings. In this work, we add numerical support to the hypothesis that a strongly interacting superconductor weakened by phase fluctuations can boost its $T_c$ by hybridizing the system with a metal. Using determinant quantum Monte Carlo (DQMC), we simulate a two-dimensional bilayer composed of an attractive Hubbard model and a metallic layer in two regimes of the interaction strength −|𝑈|. In the strongly interacting regime, we find that increasing the interlayer hybridization \tperp results in a nonmonotonic enhancement of $T_c$, with an optimal value comparable to the maximum $T_c$ observed in the single-layer attractive Hubbard model, confirming trends inferred from other approaches. In the intermediate coupling regime, when −|𝑈| is close to the value associated with the maximum $T_c$ of the single-layer model, increasing \tperp tends to decrease $T_c$, implying that the correlated layer was already optimally tuned. Importantly, we demonstrate that the mechanism behind these trends is related to enhancement in the superfluid stiffness, as was initially proposed by Kivelson [Physica B: Condensed Matter 318 , 61 (2002)]. Reference: Y. Zhang et al., Physical Review B (2025). DOI: https://journals.aps.org/prb/accepted/10.1103/lcgr-bqcv Preprint: https://arxiv.org/abs/2501.15428