QuantumNet at the “Quantum Technologies for Medicine and Healthcare” Event

On March 13, 2026, QuantumNet took part in the event “Quantum Technologies for Medicine and Healthcare”, organized by NQSTI at Confindustria Bari.

The initiative, aimed at Italian companies operating in the healthcare, pharma, and biomedical sectors, represented an important opportunity for dialogue between quantum technology developers, industrial stakeholders, and healthcare players. The goal of the event was to provide an updated overview of the most innovative applications of quantum computing in diagnostics, treatment, and healthcare data management.

QuantumNet’s Contribution

During the event, Alfredo Troiano delivered a presentation titled “Quantum Computing for Healthcare: Perspectives and Emerging Applications”, outlining the main research and development activities carried out by QuantumNet.

Founded in 2021 through a collaboration between NetCom Group and the University of Naples Federico II, QuantumNet is among the first innovative Italian startups specializing in quantum computing and its industrial applications.

Quantum Machine Learning in Healthcare: Key Perspectives

The presentation focused on the role of Quantum Machine Learning (QML) as a strategic enabler to address some of the most pressing challenges in the healthcare sector.

In particular, quantum technologies can:

analyze large volumes of heterogeneous data, including Electronic Health Records (EHRs), medical imaging, and genomic data
improve the accuracy and timeliness of diagnoses
support precision medicine approaches
accelerate drug discovery processes
identify complex patterns and biomarkers that are difficult to detect using traditional methods

A specific focus was placed on advanced models such as Quantum Convolutional Neural Networks (QCNNs), which demonstrate the ability to achieve performance comparable to classical models while significantly reducing the number of parameters and computational complexity. These aspects are crucial for real-world adoption, especially in resource-constrained environments.

Towards Quantum-Classical Integration

Another key takeaway was the importance of hybrid quantum-classical approaches, which currently represent the most practical pathway to harness the potential of quantum computing in the short to medium term.

By combining quantum algorithms with classical machine learning models, it is possible to overcome current hardware limitations and enable scalable, high-impact applications in the healthcare domain.

Research, Innovation, and Collaboration

QuantumNet’s participation in the event reinforces its role within the national quantum innovation ecosystem and its commitment to developing advanced deep-tech solutions.

Initiatives promoted by organizations such as NQSTI play a key role in fostering collaboration between research and industry, accelerating technology transfer, and supporting the adoption of innovative solutions in healthcare.

QuantumNet at the “Quantum Technologies for Medicine and Healthcare” Event