Quantum Barkhausen Noise Induced by Domain Wall Co-Tunneling
C. Simon, D.M. Silevitch, P.C.E. Stamp, T.F. Rosenbaum

TL;DR
This paper explores quantum tunneling-driven domain wall dynamics in a ferromagnet, revealing quantum Barkhausen noise with unique avalanche behaviors and two distinct quantum mechanisms influenced by external magnetic fields.
Contribution
It introduces the concept of quantum Barkhausen noise and demonstrates how quantum tunneling affects domain wall motion and avalanche dynamics in a ferromagnet, extending beyond classical models.
Findings
Observation of avalanche dynamics in quantum regime
Identification of two quantum mechanisms for domain wall movement
Correlation of domain wall pairs influenced by transverse magnetic field
Abstract
Most macroscopic magnetic phenomena (including magnetic hysteresis) are typically understood classically. Here, we examine the dynamics of a uniaxial rare-earth ferromagnet deep within the quantum regime, so that domain wall motion, and the associated hysteresis, is dominated by large-scale quantum tunneling of spins, rather than classical thermal activation over a potential barrier. The domain wall motion is found to exhibit avalanche dynamics, observable as an unusual form of Barkhausen noise. We observe non-critical behavior in the avalanche dynamics that only can be explained by going beyond traditional renormalization group methods or classical domain wall models. We find that this ``quantum Barkhausen noise'' exhibits two distinct mechanisms for domain wall movement, each of which is quantum-mechanical, but with very different dependences on an external magnetic field applied…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Magnetic properties of thin films · Nonlinear Dynamics and Pattern Formation
