Predictive Modeling of Correlated Poise 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 and Presentations

Lordi, V. 2018. "Electronic Structure and Surface Properties of MgB 2 (0001) upon Oxygen Adsorption." Phys. Rev. B. 97 (19). doi: 10.1103/PhysRevB.97.195416. LLNL-JRNL-736842.

Materise, N., et al. 2018. "Quantum Langevin Equations for the Brune Multiport Hamiltonian." APS Meeting, Los Angeles, CA, 5–9, March 2018. LLNL-ABS-741224.

Ray, K. G., et al. 2017. "Paramagnetic Spins on a-Al2O3 with Varied Surface Termination." Materials Research Society Meeting, Boston, MA, Nov. 26–Dec.1, 2017. LLNL-ABS-740884.

Ray, K. G., et al. 2018. "Emergent Dynamics of Noise and Loss-Generating Paramagnetic Spins in Superconducting Circuits." APS Meeting, Los Angeles, CA, 5–9, March 2018. LLNL-ABS-741224.

Ray, K. G., et al. 2018. "Superconducting Qubit Decoherence Due to Paramagnetic Surface Adsorbate Spin Dynamics." Materials Research Society Meeting, Phoenix, AZ, 2–6, April 2018. LLNL-ABS-744904.

Ray, K. G., et al. 2018. "Theoretical Studies on the Materials Origins of Decoherence in Quantum Information Systems." Molecular Foundry Annual User Conference, Berkeley, CA, 15–16, August 2018. LLNL-ABS-755704.