Let's consider the conflict between two of the most critical issues in quantum computing: Should we prioritize intensive protection and error correction systems to minimize error rates, or should we focus on adding more quantum bits (qubits) to enhance the system's computational power? Which do you think is more vital for the future of quantum computers? Why?
Which is more important in quantum computers: error correction or scalability?
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I think the closest comparison in this situation is the balance between RAM and CPU in normal computers. For example, you can add 32 GB of RAM to a computer later, but if the CPU's single-core performance is the limiting factor, no matter how much RAM you have, it won't help. Quantum computing is similar: if error correction systems aren't good enough, no matter how many qubits you add, the results won't be reliable. It's like game consoles running on ARM processors; to boost performance in high-frequency but error-prone systems, you need a solid foundation.
On the other hand, if you focus only on error correction, the system gets bogged down, like Apple's A16 chip in the iPhone. With fewer cores but a high-efficiency design, every component needs to be top-notch. The same goes for quantum computing: scalability, without a clean error correction algorithm to back it up, can produce absurdly wrong results. So they're interdependent, but I think error correction should come first so that qubits added later can work properly. Honestly, for quantum computers, it seems like the "set the standard first, then scale" approach is the way to go.
I recently saw a friend's screen at an online event where they were running a quantum simulation, and they kept getting "qubit loss" errors. I offered to help and noticed their code had no error correction algorithms—just increasing the qubit count. The result? The system became even more unstable. Turns out, the best approach is to first establish a stable foundation and then slowly scale the system.