The future forecasting ability of machine learning (ML) makes ML a promising tool for
predicting long-time quantum dissipative dynamics of open systems. In this article, we …

Whether long-range interactions allow for a form of causality in nonrelativistic quantum
models remains an open question with far-reaching implications for the propagation of …

Abstract Machine learning has emerged as a promising paradigm to study the quantum
dissipative dynamics of open quantum systems. To facilitate the use of our recently …

The Majorana search is caught up in an extensive debate about the false-positive signals
from nontopological Andreev bound states. We introduce a remedy using the dissipative …

Charge qubits can be created and manipulated in solid-state double-quantum-dot (DQD)
platforms. Typically, these systems are strongly affected by quantum noise stemming from …

The quest to identify and observe Majorana fermions in physics and condensed-matter
systems remains an important challenge. Here, we introduce a qubit (spin-1/2) from the …

We discuss both the spectrum and the dynamics of cavity QED in the presence of dissipation
beyond the standard perturbative treatment of losses. Using the dynamical polaron ansatz …

This review illustrates how Local Fermi Liquid (LFL) theories describe the strongly correlated
and coherent low-energy dynamics of quantum dot devices. This approach consists in an …

The use of dissipation for the controlled creation of nontrivial quantum many-body correlated
states is of much fundamental and practical interest. What is the result of imposing number …

Quasicrystals, a fascinating class of materials with long-range but nonperiodic order, have
revolutionized our understanding of solid-state physics due to their unique properties at the …