The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …

Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …

The development of estimation and control theories for quantum systems is a fundamental
task for practical quantum technology. This vision article presents a brief introduction to …

Quantum computers solve ever more complex tasks using steadily growing system sizes.
Characterizing these quantum systems is vital, yet becoming increasingly challenging. The …

Wave-particle duality is one of the basic features of quantum mechanics, giving rise to the
use of complex numbers in describing states of quantum systems and their dynamics and …

The exponential growth in Hilbert space with increasing size of a quantum system means
that accurately characterizing the system becomes significantly harder with system …

In the present work, irregular Cu nanoparticle-decorated boron–carbon–nitrogen (Cu–BCN)
nanosheets were successfully synthesized. A Cu–BCN dispersion was deposited on a bare …

Quantum reservoir networks combine the intelligence of neural networks with the potential of
quantum computing in a single platform. This platform operates on the architecture of …

Reconstructing quantum states is an important task for various emerging quantum
technologies. The process of reconstructing the density matrix of a quantum state is known …