Anyonic statistics and slow quasiparticle dynamics in a graphene fractional quantum Hall interferometer
Authors: Noah L. Samuelson, Liam A. Cohen, Will Wang, Simon Blanch, Takashi Taniguchi, Kenji Watanabe, Michael P. Zaletel, Andrea F. Young
Abstract: Anyons are two dimensional particles with fractional exchange statistics that emerge as elementary excitations of fractional quantum Hall phases. Experimentally, anyonic statistics manifest directly in the edge-state Fabry-P\'erot interferometer geometry, where the presence of $N_{qp}$ localized anyons in the interferometer bulk contributes a phase $N_{qp} \theta_a$ to the observed interference pattern, where $\theta_a$ is twice the statistical exchange phase. Here, we report a measurement of $\theta_a$ in a monolayer graphene Fabry-P\'erot interferometer at $\nu$ = 1/3. We find a preponderance of phase slips with magnitudes $\Delta \theta \approx 2 \pi / 3$, confirming the result of past experiments in GaAs quantum wells and consistent with expectations for the tunneling of Abelian anyons into the interferometer bulk. In contrast to prior work, however, single anyon tunneling events manifest as instantaneous and irreversible phase slips, indicative of quasiparticle equilibration times exceeding 20 minutes in some cases. We use the discrepancy between the quasiparticle equilibration rate and our measurement speed to vary the interferometer area and $N_{qp}$ independently, allowing us to precisely determine the interferometer phase and monitor the entry and exit of individual anyons to the interferometer loop in the time domain. Besides providing a replication of previous interferometric measurements sensitive to $\theta_a$ in GaAs, our results bring anyon dynamics into the experimental regime and suggest that the average `topological charge' of a mesoscopic quantum Hall device can be held constant over hour long timescales.
Explore the paper tree
Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant
Look for similar papers (in beta version)
By clicking on the button above, our algorithm compares the title and abstract of this paper with all the papers of the same arXiv category that we have summarized, and finds the closest ones. You can rerun it from time to time: the results improve as our database grows.