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Quantum computing and AI: Are they revolutionizing research together?
On February 26, 2025, the RESOLV New Year's reception took place at the TU Dortmund, with Dr. Curioni as guest speaker.
Quantum computing and AI: Are they revolutionizing research together?
On February 26, 2025, the New Year's reception of the Cluster of Excellence Ruhr Explores Solvation (RESOLV) took place in the Rudolf Chaudoire Pavilion at the Technical University of Dortmund. Over 100 participants, including scientists, industry representatives and students, came together to discuss the latest developments in solvent research and technological innovations. Dr. Alessandro Curioni, Vice President of IBM Europe and Africa and Director of the IBM Research Laboratory in Zurich, gave the guest speech and placed the importance of collaboration between science and industry in the use of artificial intelligence (AI) for societal challenges at the center of his remarks.
The spokesperson for RESOLV, Prof. Dr. Martina Havenith, reflected on the past year, which was heavily influenced by the preparation of a new application and preparation for the upcoming assessment in Bonn. In a total of 13 brainstorming sessions over the last three years, those involved have identified new scientific challenges. The results of this review are expected on May 22, 2025.
Technological transformations and their effects
Dr. In his speech, Curioni highlighted the two most defining technological transformations of the last 30 years: artificial intelligence and quantum computing. AI is currently revolutionizing the reality of life, while quantum computing is evolving from a theoretical concept into a dynamic research field. According to forecasts, quantum computing will be able to solve complex tasks much more effectively from 2030 onwards.
The Cluster of Excellence RESOLV plans to increasingly use AI in research on solvents. Scientists within the cluster are already using machine learning methods to determine intermolecular interaction potentials and to design chemical reactions. These approaches show how AI can not only optimize existing research processes, but also open up new areas of research.
Research between AI and quantum mechanics
The synergies between artificial intelligence and quantum mechanics are promising and offer exciting possibilities. Quantum mechanics deepens our understanding of the fundamental laws of matter and energy. Their principles, such as entanglement and superposition, could significantly advance AI developments. For example, entanglement enables complex processing processes, while superposition increases the learning speed of AI systems.
The combination of these two technologies could be groundbreaking, particularly in data analysis, materials science and pharmaceuticals. Quantum algorithms could significantly improve pattern recognition and data analysis. But the challenges should not be underestimated either. High computing requirements and the complexity of the algorithms make integration into existing systems difficult.
Nevertheless, quantum computing remains an important tool for solving specific problems that AI alone cannot solve. Increasing the performance of quantum computers requires more stable qubits, improved error correction and faster processors. These technologies need to be further developed to achieve their full potential.
In contrast, AI has the advantage that it can run on existing infrastructure and efficiently processes large amounts of data. In the long term, this could lead to a hybrid approach in which AI and quantum computing complement each other and enable scientific discoveries on previously unknown dimensions.
In recognition of outstanding achievements, the RESOLV Doctoral Prize 2024 was awarded to Dr. Elie Benchimol awarded. His research on the influences of solvents on chemical equilibria in self-organizing systems opens a new area of research on complex dynamic systems.
In summary, the event highlights the significant advances and collaborations in the field of AI and quantum computing, which could have a lasting impact not only on scientific research but also on industry. The exchange between these dynamic research fields could redefine the boundaries of what is possible news.rub.de, allaboutai.com and das-wissen.de report.