USE CASE | Quantum capacity building for life sciences |
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Application area Quantum computing, biomedical simulation & drug discovery | Novo Nordisk Foundation’s Quantum Computing Programme (NQCP) is driving Denmark’s ambition to develop a globally competitive quantum ecosystem, focusing on innovation in life sciences. The programme combines cutting-edge hardware development with targeted pharmaceutical, genomic, and neurobiology applications. NQCP is building critical capabilities through partnerships with institutions such as the Niels Bohr Institute, the Technical University of Denmark, Nordita, and industrial players. It advances superconducting, photonic, and trapped-ion qubit platforms to identify the most promising technology for fault-tolerant quantum computing. On the application side, NQCP is developing quantum algorithms to tackle life sciences challenges, including complex molecular simulations for drug discovery and precision medicine. The programme also invests in Quantum Foundry Copenhagen, a facility for producing high-quality quantum processors and materials, and collaborates internationally, for example, with MIT, to accelerate research and ecosystem-building. |
End-users Pharmaceutical companies, life sciences researchers | |
Tech developers NQCP, University of Copenhagen, Niels Bohr Institute (Denmark), MIT(USA) | |
Further reading |
USE CASE | Quantum sensors for next-generation brain imaging |
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Application area Quantum sensing, MEG | At Karolinska Institutet in Sweden, the NatMEG lab is pioneering the clinical use of quantum sensors for brain diagnostics. NatMEG has implemented an advanced on-scalp MEG system that utilizes optically pumped magnetometers (OPMs), a new highly sensitive, quantum-enhanced sensor type. Unlike traditional MEG systems, these sensors can be placed directly on the scalp, which offers significantly improved spatial resolution and sensitivity. The system is already used to diagnose and plan surgery for epilepsy patients. It enables detailed brain activity mapping without invasive procedures. The facility supports clinical use and research nationwide and collaborates with academic and healthcare partners, including Chalmers University of Technology, to further develop the technology. The system primarily benefits pediatric patients, offering a more adaptable and comfortable setup for children and adolescents during brain examinations. |
End-users NatMEG lab (open to researchers and clinicians in Sweden) | |
Tech developers Swedish technical universities and Karolinska Institutet (Sweden) | |
Further reading |
USE CASE | Quantum computing for photodynamic cancer therapy |
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Application area Quantum computing, photodynamic cancer therapy | In collaboration with IBM Quantum and Cleveland Clinic and as part of Wellcome Leap’s Quantum for Bio Challenge, Algorithmiq is leading efforts to advance cancer treatment by accurately simulating the complex properties critical to the efficacy of photodynamic therapy (PDT), a method in which light-activated drugs (photosensitizers) selectively target and destroy cancer cells. Algorithmiq’s hybrid quantum-AI pipeline enables the prediction of drug behavior prior to synthesis, reducing experimental demands and accelerating the discovery of photoactivated compounds. This project is among the first to apply quantum simulation across a complete biomedical pipeline. As quantum hardware advances, the pipeline seamlessly integrates quantum-derived data to enhance AI performance further, surpassing the limitations of classical modeling alone. The goal is to improve drug efficacy and selectivity while minimizing side effects, paving the way for quantum-assisted drug discovery and more effective cancer therapies. |
End-user Cleveland Clinic (USA) | |
Tech provider Algorithmiq (Finland), IBM (USA) | |
Further reading |
USE CASE | Quantum center for drug discovery |
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Application area Pharmaceutical R&D (drug discovery, molecular design) | AstraZeneca and IonQ have initiated a collaboration by establishing a Quantum Computational Chemistry Center of Excellence within AstraZeneca’s BioVentureHub in Gothenburg, Sweden. The initiative focuses on applying quantum computing to early-stage drug discovery and molecular design. By leveraging IonQ’s quantum expertise, the goal is to understand molecular interactions better and develop more efficient, targeted, and cost-effective therapies. IonQ intends to assemble a dedicated team in Gothenburg, consisting of computational chemists, engineers, and entrepreneurs, to develop quantum applications for pharmaceutical research and development. The center reflects AstraZeneca’s broader strategy to promote sustainable chemistry and underscores growing regional interest in integrating quantum technologies into life sciences. This collaboration positions the Nordic-Baltic region as a potential leader in quantum-assisted drug development. |
Industrial partner: AstraZeneca (Sweden), IonQ (USA) | |
Research partner: BioVentureHub (AstraZeneca, Sweden) | |
Further reading |
USE CASE | Quantum sensing for next-gen radar |
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Application area Quantum sensors, quantum noise radar | Saab, a leading Swedish defense and security company, is actively collaborating with the Wallenberg Centre for Quantum Technology (WACQT) to explore the potential of quantum technologies in defense applications. As part of this partnership, Saab is involved in two PhD research projects on developing a novel radar concept known as quantum noise radar. These projects investigate whether entanglement between generated photons can enhance radar system performance, potentially improving detection capabilities and resilience against electronic countermeasures. This collaboration reflects Saab’s strategic commitment to integrating cutting-edge quantum research into real-world defense systems and aligns with Sweden’s broader ambitions to lead in quantum technology development.measures. |
Industrial partner: Saab (Sweden) | |
Research partner: WACQT (Sweden) | |
Further reading |
USE CASE | Quantum-assisted chemistry for next-gen batteries |
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Application area: Quantum computing, battery materials simulation | Volkswagen and IQM partnered to explore how quantum computing can advance battery chemistry for electric vehicles. The project successfully simulated lithium-ion battery reactions with high chemical accuracy, achieving these results using only 13 qubits, demonstrating a significant reduction in hardware requirements. The approach combined classical and quantum computing to model complex chemical interactions efficiently. This hybrid method reduced the number of required qubits and showed resilience to quantum noise, making it compatible with today’s quantum hardware. By enabling accurate simulations with fewer resources, the collaboration marks a major step toward practical quantum computing applications in designing more efficient and longer-lasting EV batteries. |
Industrial partner: Volkswagen Group (GER) | |
Tech provider: IQM (FIN) | |
Academic partners: University of Munich (GER) | |
Further reading |
USE CASE | Hybrid quantum optimization in industry |
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Application area: Quantum computing, scheduling, route planning, optimization, fraud detection | The NeQst project, led by SINTEF Digital and funded by the Research Council of Norway, explores how near-term quantum computers can solve complex industrial optimization problems. From 2022 to 2026, the project brings together academic and industry partners from Norway, Estonia, and Germany. NeQst focuses on real-world applications such as hydropower scheduling, route planning for autonomous ships, financial fraud detection, portfolio management, and supply chain optimization. The consortium develops hybrid quantum-classical algorithms tailored to these use cases, addressing practical challenges like hardware noise and benchmarking against classical approaches. By targeting diverse sectors, NeQst aims to demonstrate the real-world value of quantum computing in industrial contexts. |
Academic & research partners: University of Oslo & SINTEF Energy (NO), Fraunhofer-Gesellschaft (GER), University of Tartu (EST) | |
Industrial partners: Equinor, Statkraft, Statnett, DNB, and Kongsberg (NOR) | |
Further reading |
USE CASE | Quantum simulation for fluid dynamics and engineering |
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Application area Quantum computing, multiphysics simulation (fluid dynamics, electromagnetics) | Quanscient, in collaboration with VTT, has demonstrated how quantum computing can be used to simulate fluid dynamics across multiple time steps—an essential part of modeling airflow, heat transfer, and particle transport. The simulation achieved high accuracy using only 12 qubits, showing how quantum methods can solve complex engineering problems with minimal hardware. Instead of adapting traditional models, the team used a quantum-native approach designed specifically for quantum computing's strengths. This allows for more compact and scalable simulations that could, in the future, outperform classical methods in speed and efficiency. Potential applications include building ventilation, cooling systems, and aerodynamic design. This work also highlights how aligning algorithms with current hardware capabilities can improve performance in real-world quantum simulations. While still in early stages, the project marks progress toward using quantum computing in advanced engineering and product development. |
End-user segment : Engineering and product development (e.g. aerospace, energy, HVAC) | |
Tech provider: Quanscient (FIN) | |
Research partner: VTT (FIN) | |
Further reading |
USE CASE | Quantum-optimised real-time trading |
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Application area Quantum computing, algorithmic trading, financial risk management | Jyske Bank, in partnership with Qpurpose and the Centre for Quantum Mathematics, has deployed a quantum-enhanced real-time trading system into live daily operations. The system uses quantum techniques to model complex market behaviors more efficiently than traditional methods. This allows for more accurate short-term forecasts, improved pricing and hedging strategies, and better capital allocation. The solution has increased trading revenues and leaner hedging practices, helping the bank reduce its regulatory capital requirements. Actively used in daily trading, the system will be extended to cover additional asset classes, marking one of the first real-world applications of quantum software in financial markets. This case illustrates how quantum computing is starting to deliver measurable value, even before fault-tolerant systems are fully available. |
End-user: Jyske Bank (DEN) | |
Tech providers: Qpurpose & Centre for Quantum Mathematics (DEN) | |
Academic partner: University of Southern Denmark (DEN) | |
Further reading |
USE CASE | Piloting quantum applications in financial services |
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Application area Financial services (Credit risk, forecasting, portfolio optimisation) Industrial partner: OP Financial Group (FIN) Research Partners: University of Jyväskylä, University of Oulu, other Finnish academic partners | OP Financial Group’s innovation unit, OP Lab, has been actively exploring the potential of quantum computing across various financial applications. The aim has been to understand better where and when quantum technologies may offer advantages, and how current maturity levels align with real-world financial needs. As part of this learning journey, OP has piloted quantum approaches in three distinct areas:
OP Lab’s approach centers on building future readiness and identifying strategic entry points for realizing quantum advantage as the technology matures. |
Further reading |