Out-of-equilibrium full counting statistics in Gaussian theories of quantum magnets

SciPost Physics Stichting SciPost 17:5 (2024) 139

Authors:

Riccardo Senese, Jacob Robertson, Fabian Essler

Long-time divergences in the nonlinear response of gapped one-dimensional many-particle systems

(2024)

Authors:

M Fava, S Gopalakrishnan, R Vasseur, SA Parameswaran, FHL Essler

Loss-Induced Quantum Information Jet in an Infinite Temperature Hubbard Chain

Physical Review Letters 133, 190403 (2024)

Authors:

Patrik Penc, Cătălin Paşcu Moca, Örs Legeza, Tomaž Prosen, Gergely Zaránd, and Miklós Antal Werner

Abstract:

Information propagation in the one-dimensional infinite temperature Hubbard model with a dissipative particle sink at the end of a semi-infinite chain is studied. In the strongly interacting limit, the two-site mutual information and the operator entanglement entropy exhibit a rich structure with two propagating information fronts and superimposed interference fringes. A classical reversible cellular automaton model quantitatively captures the transport and the slow, classical part of the correlations but fails to describe the rapidly propagating information jet. The fast quantum jet resembles coherent free particle propagation, with the accompanying long-ranged interference fringes that are exponentially damped by short-ranged spin correlations in the many-body background.

Asymmetric limit cycles within Lorenz chaos induce anomalous mobility for a memory-driven active particle.

Physical review. E 110:5 (2024) L052203

Authors:

Rahil N Valani, Bruno S Dandogbessi

Abstract:

On applying a small bias force, nonequilibrium systems may respond in paradoxical ways such as with giant negative mobility (GNM)-a large net drift opposite to the applied bias, or giant positive mobility (GPM)-an anomalously large drift in the same direction as the applied bias. Such behaviors have been extensively studied in idealized models of externally driven passive inertial particles. Here, we consider a minimal model of a memory-driven active particle inspired from experiments with walking and superwalking droplets, whose equation of motion maps to the celebrated Lorenz system. By adding a small bias force to this Lorenz model for the active particle, we uncover a dynamical mechanism for simultaneous emergence of GNM and GPM in the parameter space. Within the chaotic sea of the parameter space, a symmetric pair of coexisting asymmetric limit cycles separate and migrate under applied bias force, resulting in anomalous transport behaviors that are sensitive to the active particle's memory. Our work highlights a general dynamical mechanism for the emergence of anomalous transport behaviors for active particles described by low-dimensional nonlinear models.

Collective self-caging of active filaments in virtual confinement

Nature Communications Nature Research 15:1 (2024) 9122

Authors:

Maximilian Kurjahn, Leila Abbaspour, Franziska Papenfuß, Philip Bittihn, Ramin Golestanian, Benoît Mahault, Stefan Karpitschka

Abstract:

Motility coupled to responsive behavior is essential for many microorganisms to seek and establish appropriate habitats. One of the simplest possible responses, reversing the direction of motion, is believed to enable filamentous cyanobacteria to form stable aggregates or accumulate in suitable light conditions. Here, we demonstrate that filamentous morphology in combination with responding to light gradients by reversals has consequences far beyond simple accumulation: Entangled aggregates form at the boundaries of illuminated regions, harnessing the boundary to establish local order. We explore how the light pattern, in particular its boundary curvature, impacts aggregation. A minimal mechanistic model of active flexible filaments resembles the experimental findings, thereby revealing the emergent and generic character of these structures. This phenomenon may enable elongated microorganisms to generate adaptive colony architectures in limited habitats or guide the assembly of biomimetic fibrous materials.