Quantum computing is a rapidly evolving field of computing technology that uses the principles of quantum mechanics to manipulate and measure information. It has the potential to solve problems that are impossible to solve with traditional computing technologies. There are several different types of quantum computing, including gate-based quantum computing, adiabatic quantum computing, topological quantum computing, and optical quantum computing. Each type of quantum computing has its own unique advantages and disadvantages, so it is important to understand the differences between them in order to make the best decision for a given application. Here is a short list of potential problems that we could use the power of quantum computing in the industry:

1. Drug discovery and design
2. Materials science and engineering
3. Supply chain optimization
4. Financial modeling and analysis
5. Climate modeling and prediction
6. Cryptography and cyber security
7. Traffic optimization and control
8. Protein folding and structure prediction
9. Genome sequencing and analysis
10. Natural language processing
11. Machine learning and artificial intelligence
12. Computer-aided design and engineering
13. Quantum chemistry and molecular simulation
14. Weather forecasting
15. Portfolio optimization and risk management
16. Fraud detection and prevention
17. Environmental Modeling and Conservation
18. Optimization of manufacturing processes
19. Decision-making and optimization of complex systems
20. Astronomy and astrophysics
21. Data compression and storage
22. Medical imaging and diagnostics
23. Precision agriculture
24. Healthcare and medical research
25. Telecommunications and networking
26. Energy and power systems optimization
27. Industrial design and engineering
28. Quantum simulations of complex systems
29. Computer-aided manufacturing and automation
30. Cryptocurrency mining and transactions