One of the biggest mistakes I see is people assuming: “Quantum computers will replace classical computers.” They won’t. At least not in the way most people imagine. Quantum computing is not: - A faster laptop - A replacement for GPUs - A shortcut for all ML problems - Useful for every business In fact, for most problems today, classical computing is still the right tool. And that’s okay. Quantum only starts to make sense when: - The problem structure is very specific - Classical methods struggle even at scale - Approximate or probabilistic solutions are acceptable This is why I’m very cautious when people jump straight to: “How can I use quantum for my startup?” The better question is: “Should I even use quantum here?” In this community, we’ll spend a lot of time saying no before we say yes — because that’s how you avoid hype, wasted effort, and bad decisions. If you’re here to understand quantum honestly, you’re in the right place. Question for you: What’s one thing about quantum computing that currently confuses you or sounds overhyped?