Quantum computers promise massive performance gains, but the underlying mechanisms can be fuzzy. In principle, they use superposition and entanglement to explore many states simultaneously, unlike classical bits that are strictly 0 or 1. How exactly does this parallelism translate into practical algorithmic speedups, and what are the main challenges that still limit real‑world applications? Curious to hear different perspectives and any simplified analogies you’ve come across.
How does quantum computing achieve speedups over classical processors?
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