ERCIM News 146
October 2026
Special theme Quantum Technology
Guest editors Miroslav Dobsicek (RISE), Sebastian Raubitzek (SBA Research) and Filippo Vella (CNR-ICAR)
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No. 139 - Details
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- Hits: 39
by Miroslav Dobsicek (RISE), Sebastian Raubitzek (SBA Research) and Filippo Vella (CNR-ICAR)
In recent years, major advances in quantum hardware, algorithms and software have created great opportunities for scientific discovery and industrial innovation. What can be observed is that quantum technology is entering a new phase where systems are becoming the central focus. Progress is no longer defined only by better qubits, individual algorithms or isolated demonstrations, but increasingly by whether quantum components can be integrated with classical computing, software, networks, sensing platforms and real applications. This transition, from quantum components to quantum systems, is changing both the research questions and the criteria by which progress should be judged.
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by José A. Tirado-Domínguez, Eladio Gutiérrez, and Oscar Plata (University of Malaga)
Could quantum computing help address complex scheduling problems? We explore this question by proposing a structured problem representation that isolates constraints from optimization objectives. Our framework improves solution quality using fewer circuit layers than conventional implementations.
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by Zakaria Abdelmoiz Dahi (University of Lille, Inria, CNRS), Gabriel Luque and Francisco Chicano (Univerisity of Malaga)
Quantum computing has the potential to revolutionise optimisation, yet most existing approaches focus on problems with a single objective. Our work bridges this gap by developing scalable quantum algorithms capable of tackling realistic optimisation problems involving multiple conflicting objectives.
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by Jacopo Settino, Andrea Vinci and Carlo Mastroianni (CNR-ICAR)
Neuromorphic computing shows how the physical dynamics of a device can become part of the computation itself. Quantum systems offer a different but potentially complementary opportunity. This perspective considers how quantum dynamics, interactions, memory, and dissipation might open new directions for neuromorphic computing, beyond simply running neural-network models on quantum processors.
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by Pascal Halffmann (Fraunhofer Institute for Industrial Mathematics ITWM)
Hardness alone does not identify promising quantum applications. Classical optimization has spent decades exploiting problem structure; thus, quantum methods must compete with far more than brute force. Where, then, might quantum optimization genuinely contribute, and what kinds of problems offer a plausible path to real-world utility or even advantage?
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by Ruben Rios and José A. Montenegro (University of Málaga)
Post-quantum cryptography is no longer a theoretical exercise. As quantum-safe algorithms move towards large-scale deployment, recent studies by NICS Lab in the context of PQSecNg project show that the main challenges extend far beyond the cryptographic primitives themselves, revealing hidden bottlenecks across protocols, software stacks and network infrastructures.
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by Hannes Hübel, Manuela Kos and Sebastian Ramacher (AIT Austrian Institute of Technology)
The project QCI-CAT is advancing Austria’s contribution to Europe’s quantum-secure communication infrastructure by bringing quantum key distribution and post-quantum cryptography from research into operational networks and real-world applications. Austrian research, industry and government partners have deployed long-distance QKD networks and demonstrated quantum-secure governmental and medical use cases laying the foundations for scalable, resilient and quantum-safe communications across Europe.
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by Florian Kanitschar and Christoph Pacher (Austrian Institute of Technology)
From bank transactions to medical records – our digital lives depend on secrets that may not stay secure for long. Discover how cutting-edge research collaborations are turning quantum mechanics into a guardian for our most sensitive data – and how laser pulses instead of single photons can ensure that high-performance solutions remain compatible with existing telecom infrastructure.
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- Hits: 39
by Sebastian Raubitzek, Rebecca Klingbeil (SBA Research) and Werner Strasser (fragmentiX Storage Solutions)
The European Quantum Communication Infrastructure (EuroQCI) [L1] sets a strategic goal for secure communication across the EU, yet the size and shape of the national networks needed to achieve it remain unspecified. We present a reproducible method to estimate the number of nodes, total fibre length, and equipment required for national terrestrial quantum key distribution (QKD) networks, using Austria as a reference and scaling the results to other Member States.
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by Claudio Cicconetti (CNR-IIT) and Alessandro Zavatta (CNR-INO, Italy)
Quantum Key Distribution is already moving out of the laboratory, but today’s QKD networks are only a first step towards a full Quantum Internet. CNR is building an inter-regional quantum network across Pisa, Florence and Rome to explore how commercial QKD can be integrated into telecom infrastructure today—and how the same testbed can evolve towards quantum repeaters and networked quantum computing tomorrow.
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by Luca Salatino, Francesco D’Amore and Andrea Giordano (CNR-ICAR)
Quantum computing is often associated with future large-scale machines capable of solving problems beyond the reach of classical computers. However, useful applications can already emerge from today's small quantum processors. Researchers from the Italian National Research Council (CNR-ICAR) and the University of Calabria have developed a hybrid quantum-classical machine learning framework that significantly improves predictions of how chaotic systems evolve. This opens new opportunities for scientific computing and quantum-enhanced artificial intelligence.
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- Hits: 41
by Giovanni Pilato (CNR-ICAR), Antonio Chella (Università degli Studi di Palermo) and Salvatore Gaglio (Università degli Studi di Palermo and CNR-ICAR)
Researchers from the University of Palermo and CNR-ICAR are investigating how quantum computing concepts can support action selection in reactive robots. Their work proposes a hybrid classical–quantum architecture in which sensor data are mapped into a Hilbert-space representation and used to select robot actions under uncertainty.
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- Hits: 38
by Giovanni Ciaramella (IMT Lucca and CNR-IIT), Fabio Martinelli (CNR-ICAR) and Francesco Mercaldo (University of Molise)
Quantum computing has emerged as a critical domain in recent cybersecurity research. This article explores the use of quantum machine learning for malware analysis in Windows and Android environments. We also consider explainability in the hybrid quantum approach.
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by George T. Stamatiou and Kostas Magoutis (FORTH-ICS and University of Crete)
Adaptive computer systems must decide their next action in a repeated fashion and against a time deadline. Optimization lies at the heart of that decision-making process and limits how fast they can react. Researchers at FORTH-ICS and the University of Crete used a quantum annealer inside that loop across different systems, from a queueing model to a running web server to an inverted pendulum. The controllers were shown to be operational; what still stands in the way however, is not the quantum computation itself but everything around it.
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- Hits: 44
by Smita Chakraborty (RISE)
Quantum computers could sharpen machine learning, but only if we get one step right: how everyday data such as images, audio and tables is “embedded” into a quantum system. Understanding feature representation means building a predictive theory of embedding design, including a quantum version of the well-known classical dropout trick, that says which choices actually improve learning for a given dataset and a given computing budget.
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- Category: Special Theme
- Hits: 29
by Enrico Barbierato and Nicoleta Mihalachi (Catholic University of the Sacred Heart)
The article connects the probabilistic foundations of quantum mechanics with practical computational opportunities in finance, while emphasizing the likely role of hybrid quantum–classical approaches.
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- Hits: 32
by Javier Zayas-Gallardo (Quercus SEG, University of Extremadura), Francisco Chicano (ITIS Software, University of Málaga) and Juan Manuel Murillo (Quercus SEG, University of Extremadura)
Designing quantum oracles by hand becomes unfeasible as problem complexity grows. We introduce a grammar-based genetic programming framework that automatically generates and repairs diagonal oracle circuits, minimising circuit depth. Across standard, composite, and SAT instances, the resulting oracles match or outperform existing literature and naïve baselines, in some cases by more than 80%.
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- Category: Special Theme
- Hits: 51
by Erik Källman (RISE Research Institutes of Sweden)
Quantum machine-learning models are usually trained to match a measured number. When a model's output becomes the input of another quantum model, that is not enough. Work at RISE, built on the open-source Shim library, shows what a reusable and composable quantum model must actually preserve, and tests whether an optimiser can learn it.
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- Category: Special Theme
- Hits: 46
by Giovanni Pilato (CNR-ICAR), Salvatore Gaglio (Università degli Studi di Palermo and CNR-ICAR) and Filippo Vella (CNR-ICAR)
Programming quantum systems still requires working with low-level circuit operations. Researchers at CNR-ICAR and the University of Palermo are exploring a higher-level alternative: Quantum Logic Programming in Prolog (QLPP), which translates logical formulas into sequences of quantum gates. Although quantum computing is progressing from theoretical promise toward increasingly powerful hardware platforms, programming quantum systems remains a challenge. QLPP aims to address this by providing a high-level approach for researchers who are used to rule-based and logic-based descriptions of problems.
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- Hits: 45
by Enrique Moguel, Jaime Alvarado-Valiente, and Javier Romero-Alvarez (Universidad de Extremadura)
If we wait until quantum hardware becomes mature before thinking seriously about Quantum Software Engineering (QSE), we risk repeating the same mistakes. The software crisis showed what happens when hardware evolves faster than software engineering. This article revisits the classic software crisis, in which we emphasize that learning from the past is essential for developing the methodologies and abstractions needed to prevent a future quantum software crisis.
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- Hits: 35
by Álvaro M. Aparicio-Morales, Ernesto Pimentel (University of Málaga) and José Garcia-Alonso (Universidad de Extremadura)
Quantum computing is unlikely to operate in isolation. Its practical impact will depend on its integration with existing software ecosystems. This article explores how Service-Oriented Architecture can help expose, compose and manage quantum capabilities as services, and why classical service-oriented principles must be reconsidered in the quantum domain.
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by Daniel-Jesús Munoz and Lidia Fuentes (Universidad de Málaga)
Industrial variability models routinely reach thousands of options, and counting their valid configurations governs almost every other analysis performed on them. Search-based counters cope well until they do not. We are designing a contraction engine that counts by algebra rather than by search.
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- Hits: 34
by Göran Wendin (RISE)
The biological retina is an intelligent sensor because it uses complex neural circuits to compute, filter and pre-process data locally before sending meaningful compressed data to the brain via the optic nerve. The artificial Quantum Retina is based on the same concept: a grid of quantum sensors coherently coupled to a quantum neural network that sends pre-processed compressed quantum data to a powerful quantum processor. The concept is realistic and feasible in a long-term perspective and provides a blueprint for stepwise integration of quantum sensors, communication and information processing into an intelligent imaging system.
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- Category: Special Theme
- Hits: 33
by Kim Guldstrand Larsen (Aalborg University), Christian Schilling (Aalborg University), Mirco Tribastone (IMT School for Advanced Studies Lucca), Max Tschaikowski and Paolo Zuliani (Sapienza University of Rome)
Techniques developed to analyze classical software are finding a new role in quantum computing. Our recent work shows how model reduction, model checking and satisfiability solving can help simulate quantum programs and verify quantum communication protocols.
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- Category: Special Theme
- Hits: 40
by Andreas M. Hein (SnT, University of Luxembourg) and Carl Shneider (SnT, University of Luxembourg)
Orbital data centres are moving from vision to hardware, yet almost every concept still assumes conventional CMOS hardware. We argue that a cryogenically cooled photonic satellite constellation is a promising near-term architecture for computing in orbit and the natural on-ramp to photonic quantum processing and quantum networking in space.