The most remarkable thing is using frontier models to write and then run code on quantum computers (eg IBM’s). It’s amazing — you can even teach with a “creative coding” approach (without the multiple courses in quantum physics).
It’s not even the code that is the hardest part. In general, it is very difficult to frame a given problem domain (ie, any other field of science or optimization problem) as a problem addressable with a quantum computer. Quantum computer scientists have not made this easy—with LLMs, it still isn’t trivial, but it is a huge leap in accessibility.
Warning: LLMs hallucinate a ton within this area. Many things can go wrong. But the fact that sometimes they are correct is amazing to me.
We’ve run some studies showing the importance of expertise in this area: participants with quantum background and coding skills were much more effective at solving quantum problems with LLMs than novices, for instance.
It’s not even the code that is the hardest part. In general, it is very difficult to frame a given problem domain (ie, any other field of science or optimization problem) as a problem addressable with a quantum computer. Quantum computer scientists have not made this easy—with LLMs, it still isn’t trivial, but it is a huge leap in accessibility.
Warning: LLMs hallucinate a ton within this area. Many things can go wrong. But the fact that sometimes they are correct is amazing to me.
We’ve run some studies showing the importance of expertise in this area: participants with quantum background and coding skills were much more effective at solving quantum problems with LLMs than novices, for instance.