Holographic reconstruction of magnetic field distribution in a Josephson junction from diffraction-like Ic(H) patterns
Razmik A. Hovhannisyan, Taras Golod, and Vladimir M. Krasnov

TL;DR
This paper introduces a super-resolution magnetic imaging technique using Josephson junctions, enabling high spatial resolution and sensitivity by reconstructing magnetic fields from diffraction-like Ic(H) patterns, verified through numerical and experimental results.
Contribution
The paper presents a novel holographic reconstruction method for magnetic fields in Josephson junctions, overcoming the traditional trade-off between resolution and sensitivity.
Findings
Reconstruction accuracy is independent of junction size.
Method successfully reconstructs stray fields from trapped vortices.
Numerical and experimental validation confirms effectiveness.
Abstract
A general problem of magnetic sensors is a trade-off between spatial resolution and magnetic field sensitivity. With decreasing sensor size its resolution is improved but the sensitivity is deteriorated. Obviation of such the trade-off requires development of super-resolution imaging technique, not limited by the sensor size. Here we present a proof of concept for a super-resolution method of magnetic imaging by a Josephson junction. It is based on a solution of an inverse problem - reconstruction of a local magnetic field distribution within a junction from the dependence of the critical current on an external magnetic field, Ic(H). The method resembles the Fourier-transform holography, with the diffraction-like Ic(H) pattern serving as a hologram. A simple inverse problem solution, valid for an arbitrary symmetric case, is derived. We verify the method numerically and show that the…
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