Recent years have seen tremendous progress in the theoretical understanding of quantum
systems driven dissipatively by coupling to different baths at their edges. This was possible …

There has been recent interest in the deployment of ab initio density matrix renormalization
group (DMRG) computations on high performance computing platforms. Here, we introduce …

The hierarchical equations of motion (HEOM) method is a numerically exact open quantum
system dynamics approach. The method is rooted in an exponential expansion of the bath …

Google's tensor processing units (TPUs) are integrated circuits specifically built to accelerate
and scale up machine learning workloads. They can perform fast distributed matrix …

In quantum many-body systems with local interactions, quantum information and
entanglement cannot spread outside of a linear light cone, which expands at an emergent …

This work introduces a parallel and rank-adaptive matrix integrator for dynamical low-rank
approximation. The method is related to the previously proposed rank-adaptive basis update …

If a system of flavor-oscillating neutrinos is at high enough densities that neutrino-neutrino
coherent forward scatterings are non-negligible, the system becomes a time-dependent …

Tree tensor network states (TTNS) decompose the system wavefunction to the product of low-
rank tensors based on the tree topology, serving as the foundation of the multi-layer multi …

In this work, we study singlet fission in tetracene para-dimers, covalently linked by a phenyl
group. In contrast to most previous studies, we account for the full quantum dynamics of the …

A comprehensive picture of polaron and bipolaron physics is essential to understand the
optical absorption spectrum in many materials with electron-phonon interactions. In …