In the future, it's hoped that SQC can be used to solve more complex business problems, like developing new drugs, advanced battery technology, and even new building materials. Cryptography is another area of focus for researchers at this time.
How does artificial intelligence relate to superconducting quantum computing?
Because artificial intelligence (AI) requires a great deal of computational power and will only need more as it gets smarter, a lot of people wonder where the overlap is between that and superconducting quantum computing. Perhaps surprisingly, AI is actually being used to help with research and development to advance this type of quantum computing. It can be set on problems like how to calibrate systems, design systems, and predict and detect anomalies.
However, as SQC matures, it could also be used to power some AI projects, as well as working in conjunction with AI tools to solve complex problems as a team. But don't count on this happening soon; this is a very long-term vision, likely a decade or more away. A lot has to go right with two different kinds of still-experimental technology for it to happen.