The purpose of this review is to present some of the latest developments using random
techniques, and in particular, random matrix techniques in quantum information theory. Our …

The entanglement entropy of subsystems of typical eigenstates of quantum many-body
Hamiltonians has recently been conjectured to be a diagnostic of quantum chaos and …

Quantum information theory is a branch of science at the frontier of physics, mathematics,
and information science, and offers a variety of solutions that are impossible using classical …

Owing in large part to the advent of integrated biphoton frequency combs, recent years have
witnessed increased attention to quantum information processing in the frequency domain …

We revisit the application of neural networks to quantum state tomography. We confirm that
the positivity constraint can be successfully implemented with trained networks that convert …

From telecommunications to computing architectures, the realm of classical information
hinges on converter technology to enable the exchange of data between digital and …

We study various methods to generate ensembles of random density matrices of a fixed size
N, obtained by partial trace of pure states on composite systems. Structured ensembles of …

In recent years, Bayesian methods have been proposed as a solution to a wide range of
issues in quantum state and process tomography. State-of-the-art Bayesian tomography …

The quantification of the entanglement present in a physical system is of paramount
importance for fundamental research and many cutting-edge applications. Now, achieving …

The tomographic reconstruction of the state of a quantum-mechanical system is an essential
component in the development of quantum technologies. We present an overview of …