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

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 …

Gate set tomography (GST) is a protocol for detailed, predictive characterization of logic
operations (gates) on quantum computing processors. Early versions of GST emerged …

A key challenge toward future quantum internet technology is connecting quantum
processors at metropolitan scale. Here, we report on heralded entanglement between two …

Quantum state tomography (QST) is a challenging task in intermediate-scale quantum
devices. Here, we apply conditional generative adversarial networks (CGANs) to QST. In the …

Structured light has become topical of late, where controlling light in all its degrees of
freedom has offered novel states of light long predicted, enhanced functionality in …

Bayesian inference is a powerful paradigm for quantum state tomography, treating
uncertainty in meaningful and informative ways. Yet the numerical challenges associated …

Scaling current quantum communication demonstrations to a large-scale quantum network
will require not only advancements in quantum hardware capabilities, but also robust control …

We apply deep-neural-network-based techniques to quantum state classification and
reconstruction. Our methods demonstrate high classification accuracies and reconstruction …

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 …