Predictive Modeling of Correlated Noise in Superconducting Circuits

Vincenzo Lordi | 18-ERD-039

Executive Summary

We seek to understand how superconductive devices are affected by interactions with certain substances and to create atomic-level models of interfering interactions for use in simulations. This research is a first step toward computer-aided design of complex superconducting circuit-based devices and supports national efforts in cyber security and physical resilience.

Publications, Presentations, Etc.

Kim, C., et al. 2019. "A Density-Functional Theory Study on Al/AlOx/Al Tunneling Junction." Materials Research Society (MRS) Spring Meeting and Exhibit, Phoenix, AZ, April 2019. LLNL-PRES-772888.

––– . 2019 "Lattice-Matching Strategy for Coherent Interface Design of Josephson Junction: Al/AlOx/Al vs. Re/Al2O3/Re." Materials Research Society (MRS) Fall Meeting and Exhibit, Boston, MA, December 2019. LLNL-ABS-777997.

Ray, K., et al. 2019. "Magneto-Electric Coupling of Noise and Loss-Generating Paramagnetic Spins in Superconducting Circuits." American Physics Society (APS) March Meeting, March 2019, Boston, MA. LLNL-PRES-769099.

Rosen, Y., 2019. "Probing Two Level Systems at the Material Interfaces of Superconducting Devices." WoWorkshop on Atomic Tunneling Systems and Fluctuating Spins Interacting with Superconducting Qubits, Dresden, Germany, February 2019. LLNL-PRES-768212.