QuantumNet joins Naples event to explore quantum tech for industry

Representatives from companies and research organizations convened in Naples on November 11 as QuantumNet joined Futuro Remoto 2026 to explore the potential of quantum technologies for industrial applications. The event, held at the IDIS Foundation, Città della Scienza, facilitated dialogue between researchers and businesses seeking to translate quantum innovation into practical opportunities. QuantumNet CEO Alfredo Troiano contributed the company’s vision to a discussion highlighting the importance of collaboration between scientific expertise, technological infrastructure and businesses, the company says. NetCom Engineering’s participation highlights its commitment to encouraging an ecosystem where research drives new solutions.

Quantum Industries Panel Connects Research and Business

Alfredo Troiano, CEO of QuantumNet, shared his company’s vision during the “Industrial Applications” session at the Quantum Industries panel held on November 11. Researcher Gaia Raffaella Greco of ICAR-CNR chaired the session, which assembled leaders from organizations driving technological innovation. Representatives from TeaTek Group, ThinkQuantum, QTI, RE:LAB, Photon Technology, and Napoli Quantum Bay joined QuantumNet in a discussion about exploring the possibilities of quantum computing for the industrial sector, according to the company.

Simone Capeleto, co-founder and CEO of ThinkQuantum and Daniela Salvoni, CEO of Photon Technology, were among those present, contributing to a broad perspective on the field. Francesco Riccio, Project Manager at RE:LAB’s Naples office, and Giuseppe Serpico, CEO of Napoli Quantum Bay, also participated, furthering the goal of building an ecosystem where research can deliver practical solutions. The company aims to contribute to the development of new opportunities for businesses and local communities through the advancement of quantum technologies.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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