Ab initio modeling of nonequilibrium dynamics in superconducting detectors and qubits
Alejandro Simon, Reed Foster, Mihir Sahoo, James Shi, Emma Batson, Francesca Incalza, Matteo Castellani, Owen Medeiros, Christoph Heil, Karl K. Berggren
DOI 10.1103/3m2k-mzr6 · Physical Review B
Active bibliographic source — not scientific approval
Bibliographic access preserves source history; it does not approve extracted materials or validate reported claims. Review warnings on each occurrence separately.
Abstract
Nonequilibrium quasiparticle and phonon dynamics are central to the operation of superconducting devices. Superconducting detectors, such as superconducting nanowire single-photon detectors, transition-edge sensors, or microwave kinetic inductance detectors, perform best when a large quasiparticle population is generated in response to small perturbations. Conversely, for superconducting qubits and topologically protected Majorana fermions, even relatively small quasiparticle densities can lead to significant performance degradation. Hence, ideal materials for these devices would be less susceptible to quasiparticle poisoning. However, existing models of these devices often rely on approximations and phenomenology. Therefore, they lack a rigorous description of the underlying quasiparticle and phonon dynamics that are responsible for device performance. In this article, we combine kinetic equations with density functional theory to model the nonequilibrium quasiparticle and phonon dynamics of a thin superconducting film ab initio. To demonstrate the universality of our model, we illustrate two independent example applications: (1) we develop a theoretical model describing the detection of single photons in superconducting nanowires, and (2) we calculate the energy-relaxation rate of a transmon qubit due to the presence of excess quasiparticles. Our examples demonstrate from first principles that niobium nitride is well suited to be used for single-photon detection and that tantalum transmon qubits possess reduced sensitivity to quasiparticle poisoning relative to other materials, which is likely in part responsible for their longer coherence times. In contrast to previous models of superconducting devices, our ab initio approach makes predictions of device performance without experimental input and thus can be used to accelerate progress in device development. Moreover, by considering the full-bandwidth electron-phonon coupling, our approach can incorporate strong-coupling effects. Our methods effectively integrate ab initio materials modeling with nonequilibrium theory of superconductivity to perform practical modeling of superconducting devices, providing a comprehensive approach that connects fundamental theory with device-level applications.
Source-reported materials — not catalogue approval
| Formula | Reported Tc (K) | Pressure (GPa) | Type |
|---|---|---|---|
| NbN Archive — visibility unverified Source-occurrence policy only; no material identity or catalogue acceptance is inferred from the formula. | 10 | Pressure not reported | unknown |
Similar papers
Quantum structural diagrams and high-Tc superconductivity
similarity 0.96P. Villars & J. C. Phillips
Source status unknown — claims are unverified
Local bistability under microwave heating for spatially mapping disordered superconductors
similarity 0.95D. B. Karki et al.
Source status unknown — claims are unverified
Electrical response of superconductor/ferromagnet/topological-insulator/superconductor junctions to magnetic texture dynamics
similarity 0.94D. S. Rabinovich et al.
Source status unknown — claims are unverified
Tunneling spectroscopy of graphene nanodevices coupled to large-gap superconductors
similarity 0.94Joel I-Jan Wang et al.
Source status unknown — claims are unverified
Nonlinear dynamics in the resonance line shape of NbN superconducting resonators
similarity 0.94B. Abdo et al.
Source status unknown — claims are unverified
Electrometry of a single resonator mode at a Rydberg-atom–superconducting-circuit interface
similarity 0.93D. M. Walker et al.
Source status unknown — claims are unverified