Nicola Franco

Quantum computing represents a frontier in computational technology, offering unparalleled potential for solving complex problems. However, this revolutionary field is not without its challenges. In this blog post, we will explore the vast potential of quantum optimization, identify the key challenges that lie ahead, and discuss strategies for navigating the path forward in this exciting domain.

Neural networks are not robust. The development of reliable predictors requires systematic methods to both assess their quality and to gain confidence in their correctness. Quantum computing can provide assistance here.

Cyber-physical systems (CPS) integrate software algorithms and physical structures. To exceed the simple embedded systems of today, advances in CPS require several properties, particularly adaptability, resilience, and safety. Lean management of CPS with resilient architectures satisfies these requirements by combining data distribution with service-oriented structures. A practical use case: a moving robot in a warehouse.