Quantum Technologies Key Strategies and Opportunities for ICT Leaders 2025

2Quantum computing Quantum computing has the potential to solve complex problems, as highlighted through insights from key indicators. Quantum computing is uniquely suited to certain types of algorithms and problems, particularly those that increase in complexity as they scale. Quantum computers can solve problems that have numerous possible solutions or involve elements of randomness and uncertainty more efficiently than classical computers. It is also important to consider some key indicators to understand the status of this technology, including: maturity, learning curve, implementation time and cost, scalability and risks. The maturity of quantum computing technology is still in its early stages, requiring ongoing R&D to achieve practical and scalable solutions. There are many different technologies being explored, such as gate-based devices, trapped ions, photonic qubits, quantum dots and topological qubits. Each of these technologies has its own unique methods and potential advantages, but they all need further development to reach maturity. However, Fujitsu’s quantum-inspired Digital Annealer, developed with the University of Toronto,4 showcases early application of quantum-inspired solutions to optimize legacy telecommunications networks, reflecting the current maturity level of quantum computing. The learning curve of quantum computing is substantial, requiring a deep understanding of quantum mechanics, algorithm design and error correction techniques. TIM’s use of quantum computing for 5G network planning5 highlights the practical benefits and manageable learning curve, which can be further reduced through collaboration with providers and experts. Implementation time and cost are also significant considerations. Deploying quantum computing solutions involves substantial financial and time investments. Ericsson’s exploration of using quantum technology to optimize antenna tilting in 5G networks6 highlights the significant investment in both time and resources required to achieve practical results. Scalability is another crucial aspect. The Docomo and D-Wave use case demonstrates scalability, illustrating how quantum optimization can address large-scale network challenges. Their pilot project reduced unnecessary signals sent by base stations to mobile devices by 15%,7 which improved overall network performance and efficiency during busy times. Finally, while there are risks associated with the complexity of solving real-world problems, quantum computing offers solutions to some of these challenges. The collaboration between Cinfo, QuEra and Kipu Quantum to improve the resilience of MassOrange’s telecommunication network in Spain8 highlights the benefits of using quantum computing and the risks and uncertainties of complex problems, such as optimization in large- scale networks. The maturity of quantum computing technology is still in its early stages, requiring ongoing R&D to achieve practical and scalable solutions. 8 Quantum Technologies: Key Strategies and Opportunities for ICT Leaders