Field-Dependent Qubit Flux Noise Simulated from Materials-Specific Disordered Exchange Interactions Between Paramagnetic Adsorbates
Keith G. Ray, Yaniv Rosen, Jonathan L Dubois, Vincenzo Lordi

TL;DR
This paper presents a first-principles simulation of paramagnetic surface adsorbates on superconducting qubit surfaces, revealing how material-specific disorder and interactions influence flux noise and suggesting electric field tuning as a mitigation strategy.
Contribution
It introduces a parameter-free, materials-specific spin lattice simulation that captures flux noise phenomena in superconducting qubits, linking microscopic disorder to macroscopic noise properties.
Findings
Simulated exchange interactions match the energy range of two-level systems.
Flux noise trends agree with experimental observations.
External electric fields can reduce flux noise by tuning spin interactions.
Abstract
Superconducting quantum devices, from qubits and magnetometers to dark matter detectors, are influenced by magnetic flux noise originating from paramagnetic surface defects and impurities. These spin systems can feature complex dynamics, including a Berezinskii-Kosterlitz-Thouless transition, that depend on the lattice, interactions, external fields, and disorder. However, the disorder included in typical models is not materials-specific, diminishing the ability to accurately capture measured flux noise phenomena. We present a first principles-based simulation of a spin lattice consisting of paramagnetic O molecules on an AlO surface, a likely flux noise source in superconducting qubits, to elucidate opportunities to mitigate flux noise. We simulate an ensemble of surface adsorbates with disordered orientations and calculate the orientation-dependent exchange couplings using…
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Taxonomy
TopicsChemical and Physical Properties of Materials · Topological Materials and Phenomena · Dark Matter and Cosmic Phenomena
