collaborators

7 papers

cond-mat.stat-mech2026

Fate of diffusion under integrability breaking of classical integrable magnets

Jiaozi Wang, Sourav Nandy, Markus Kraft +2

Diffusive transport is a ubiquitous phenomenon, yet the microscopic origin of diffusion in interacting physical systems remains a challenging question, irrespective of whether quan…

cond-mat.stat-mech2026

Boundary-driven magnetization transport in the spin- XXZ chain: Role of the system-bath coupling strength and timescales

Mariel Kempa, Markus Kraft, Sourav Nandy +4

Understanding the transport properties of quantum many-body systems is a central challenge in condensed matter and statistical physics. Theoretical studies usually rely on two main…

cond-mat.stat-mech2026

Quantum typicality approach to energy flow between two spin-chain domains at different temperatures

Laurenz Beckemeyer, Markus Kraft, Mariel Kempa +2

We discuss a quantum typicality approach to examine systems composed of two subsystems at different temperatures. While dynamical quantum typicality is usually used to simulate hig…

cond-mat.stat-mech2026

Random matrix theory universality of current operators in spin- Heisenberg chains

Mariel Kempa, Markus Kraft, Robin Steinigeweg +2

Quantum chaotic systems exhibit certain universal statistical properties that closely resemble predictions from random matrix theory (RMT). With respect to observables, it has rece…

cond-mat.stat-mech2025

Nontrivial damping of magnetization currents in perturbed spin chains

Mariel Kempa, Markus Kraft, Jiaozi Wang +1

Since perturbations are omnipresent in physics, understanding their impact on the dynamics of quantum many-body systems is a vitally important but notoriously difficult question. O…

cond-mat.stat-mech2025

Scaling of diffusion constants in perturbed easy-axis Heisenberg spin chains

Markus Kraft, Mariel Kempa, Jiaozi Wang +2

Understanding the physics of the integrable spin-1/2 XXZ chain has witnessed substantial progress, due to the development and application of sophisticated analytical and numerical…