Out-of-equilibrium full counting statistics in Gaussian theories of quantum magnets
SciPost Physics Stichting SciPost 17:5 (2024) 139
Long-time divergences in the nonlinear response of gapped one-dimensional many-particle systems
(2024)
Loss-Induced Quantum Information Jet in an Infinite Temperature Hubbard Chain
Physical Review Letters 133, 190403 (2024)
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
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