Technology Convergence Report 2025

Hybrid quantum-classical computing systems The combination of hybrid quantum-classical computing systems offers a practical and immediate way to tap into quantum capabilities. Its relevance lies in the ability to integrate the emerging potential of quantum computing with the established reliability of classical systems. This approach serves as a bridge between the deterministic nature of classical computing and the probabilistic, parallel characteristics of quantum mechanics, allowing for more feasible near-term applications. 4 3 1 2 1 2 1Hybrid quantum- classic computing systemsClassical computing systems High-peformance computing Quantum algorithm optimizationHybrid computing workflowsQuantum processing unitsQuantum error correctionQuantum memory systems Technology domain Quantum Omni compute Artificial intelligence Maturity level 3 Product4 Commodity 1 Genesis2 Custom-builtN Hybrid quantum-classical computing, combining quantum and AI, is driving breakthroughs in finance, materials or molecular simulation, drug discovery, and complex optimization problems. Quantum processors accelerate AI model training, while classical systems ensure stability and scalability. Industry Company Outcomes High-techPlanqcNeutral-atom quantum computers enhance computational efficiency, accelerate complex problem-solving and expand quantum accessibility via cloud and supercomputing workflows. Chemicals and materialsBosch and IBM29Bosch and IBM are developing a hybrid quantum-classical workflow to model strongly correlated materials with greater precision, with potential applications in renewable energy, electromobility and magnetic resonance imaging (MRI) technologies. 50 Technology Convergence Report