We consider the problem of devising suitable quantum error correction (QEC) procedures for
a generic quantum noise acting on a quantum circuit. In general, there is no analytic …

We investigate the possibility to apply quantum machine learning techniques for data
analysis, with particular regard to an interesting use-case in high-energy physics. We …

We propose a generalization of the Wasserstein distance of order 1 to quantum spin
systems on the lattice Z d, which we call specific quantum W 1 distance. The proposal is …

Utilising quantum computing technology to enhance artificial intelligence systems is
expected to improve training and inference times, increase robustness against noise and …

Quantum entanglement becomes increasingly complex to analyze in many-body systems
due to exponential growth in complexity with system size. In this work, we explore the …

The impossibility of creating perfect identical copies of unknown quantum systems is a
fundamental concept in quantum theory and one of the main non-classical properties of …

Quantum computing (QC) and, to a greater extent, quantum technologies are changing the
world. In reality, QC is not an advancement of conventional computer science but rather a …

The efficiency of quantum computations is significantly obstructed by quantum noise. This
leads to errors in quantum gate operations, state preparation, and measurements. In our …