No, a true quantum computer will not necessarily solve NP-complete (NPC) problems efficiently. Quantum algorithms like Grover’s provide quadratic speedups, but this is insufficient to turn exponential-time solutions into polynomial-time ones. While quantum computers excel in specific tasks (e.g., Shor’s algorithm for factoring), there’s no evidence they can solve all NP-complete problems efficiently.

Current complexity theory suggests that , the class of problems solvable by quantum computers, does not encompass . Quantum computers may aid in approximations or heuristics for NPC problems but won’t fundamentally resolve them in polynomial time unless , which remains unlikely.

Factoring. Reversing ECC operations. Decrypting all the data thought to be safely stored at rest in any non quantum resistant storage.

I do think ai algorithms could be built that quantum gates could be fast at, but I don’t have any ideas off the top of my head this morning. If you think of AI training as searching the space of computational complexity and quantum algorithms as accessing a superposition of search states I would guess there’s an intersection. Google thinks so too - the lab is called quantum ai.

breaking crypto, for one

In principal NP complete problems is my guess.