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?