The leap from GPU to QPU isn't like CPU to GPU. It's fundamentally different.
The Ferrari-in-traffic analogy works perfectly. Problem selection matters more than raw capability.
Here's the TL;DR version of this:
• GPUs already solved deterministic parallel computation efficiently.
• Quantum systems operate probabilistically by design.
• Forcing quantum into LLM training wastes its strengths.
• Hardware shifts only matter when paired with the right problems.
• Quantum needs a native use case, not a benchmark race.
The Ferrari-in-traffic analogy works perfectly. Problem selection matters more than raw capability.
Here's the TL;DR version of this:
• GPUs already solved deterministic parallel computation efficiently.
• Quantum systems operate probabilistically by design.
• Forcing quantum into LLM training wastes its strengths.
• Hardware shifts only matter when paired with the right problems.
• Quantum needs a native use case, not a benchmark race.