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Prof. Dr. Sabina Jeschke | AI and Quantum Computing Transforming the Landscape | Rise of AI 2023
AI and Quantum Computing: The Future of Complex Problem-Solving, from optimizing logistics to modeling climate change, marking the beginning of the fourth industrial revolution.
- The current limitations of quantum computing make it impractical for most applications, with issues like extreme power usage, complexity, and lack of hardware availability.
- Quantum computing can be used to optimize complex systems, such as logistics and resource allocation, but it’s still a niche technology.
- The power consumption of quantum computers is a major concern, but advances in room temperature quantum computing and cloud-based solutions may make it more accessible.
- AI and quantum computing can be used together to solve complex problems, such as protein folding and climate modeling, but it’s still early days for this technology.
- Quantum-inspired algorithms can be used to simulate complex systems, making it possible to model and predict behavior without the need for actual quantum computers.
- The future of AI is likely to involve multiple technologies, including HPC, quantum computing, and traditional computing, all working together to solve complex problems.
- The fourth industrial revolution is being driven by AI, and quantum computing is just one of the many technologies that will play a role in this revolution.
- To take advantage of quantum computing, organizations will need to invest in training and talent development, as well as partnerships with other companies and startups.
- Quantum computing has the potential to greatly accelerate innovation, but it will also require significant investment and resources to bring it to market.
- The impact of quantum computing on sustainability and climate change will be significant, with potential applications in areas like renewable energy, carbon capture, and climate modeling.