Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …

Machine learning methods have proved to be useful for the recognition of patterns in
statistical data. The measurement outcomes are intrinsically random in quantum physics …

The difficulty to simulate the dynamics of open quantum systems resides in their coupling to
many-body reservoirs with exponentially large Hilbert space. Applying a tensor network …

Recent developments in practical quantum engineering and control techniques have
allowed significant developments for experimental studies of open quantum systems and …

We develop an exact framework for describing the non-Markovian dynamics of an open
quantum system interacting with an environment modeled by a generalized spectral density …

The unavoidable interaction of a quantum open system with its environment leads to the
dissipation of quantum coherence and correlations, making its dynamical behavior a key …

The understanding of memory effects arising from the interaction between system and
environment is a key for engineering quantum thermodynamic devices beyond the standard …

We illustrate two linear configurations (one-side model and two-side model) for
implementing a non-Markovian speedup evolution of a massive particle gravitationally …

A two-dimensional ray model is introduced to realize the non-Markovian speedup evolution
of a center massive particle gravitationally coupled to a controllable environment (multilayer …

The unavoidable interaction of an open quantum system with its surrounding environment
may follow non-Markovian dynamics behavior, which causes its memory effects to play a key …