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 …

Chain-map** techniques in combination with the time-dependent density matrix
renormalization group are a powerful tool for the simulation of open-system quantum …

In this work, we present and analyze two tensor network-based influence functional
approaches for simulating the real-time dynamics of quantum impurity models such as the …

We present a tensor network especially suited for multi-orbital Anderson impurity models
and as an impurity solver for multi-orbital dynamical mean-field theory (DMFT). The solver …

The pseudomode framework provides an exact description of the dynamics of an open
quantum system coupled to a non-Markovian environment. Using this framework, the …

We implement and apply time-dependent density matrix renormalization group (TD-DMRG)
algorithms at zero and finite temperature to compute the linear absorption and fluorescence …

We exploit the properties of chain map** transformations of bosonic environments to
identify a finite collection of modes able to capture the characteristic features, or fingerprint …

The MPSDynamics. jl package provides an easy-to-use interface for performing open
quantum systems simulations at zero and finite temperatures. The package has been …

We present an efficient ab initio dynamical mean-field theory (DMFT) implementation for
quantitative simulations in solids. Our DMFT scheme employs ab initio Hamiltonians defined …

We describe two developments of tensor network influence functionals [in particular,
influence functional matrix product states (IF-MPS)] for quantum impurity dynamics within the …