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 …

Thermodynamics is a theory of principles that permits a basic description of the macroscopic
properties of a rich variety of complex systems from traditional ones, such as crystalline …

An exactly solvable model for the multi-level system interacting with several reservoirs at
zero temperatures is presented. Population decay rates and decoherence rates predicted by …

Nearly every protocol used to analyze the performance of quantum information processors is
based on an assumption that the errors experienced by the device during logical operations …