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For the first time, 2025 will see quantum computers leave labs and research institutions and actually deploy into the networks and data centers of real-world customers. For quantum

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CEBRASPE (CESPE) · 2025

For the first time, 2025 will see quantum computers leave labs and research institutions and actually deploy into the networks and data centers of real-world customers. For quantum computing companies, this will be a real test of steel.

It’s one thing to have a groundbreaking, powerful quantum computer that only works on its very best day — when the lab conditions are perfect and when the team of PhDs operating it are at the top of their game. But the reality is that quantum computers need to work on their worst days too — in the real world, in real organizations. The quantum computing companies that land on top will be the ones that have built for this challenge since day one.

People tend to hear the words “quantum computing” and jump straight to science fiction or the multiverse. And while it seems daunting, we’ve actually reached a point where the “quantum” part of quantum computing is the easiest bit — it’s the “computing” that is inherently complex. For those on the front lines of building powerful quantum computers, this means it’s no longer a physics challenge — it’s an engineering one.

Companies won’t need to know the ins and outs of quantum computers in order to leverage its unprecedented power — they’ll simply benefit from its ability to solve the problems that could never be solved on classical computers.

Internet: <thequantuminsider.com> (adapted).

Regarding the text, judge the follow item.

The main goal of quantum computing is improving classical computing power to solve problems faster.
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Comentário: A afirmação está errada porque o principal objetivo da computação quântica não é simplesmente melhorar a velocidade da computação clássica, mas sim resolver problemas que são intrinsecamente impossíveis ou extremamente difíceis de serem resolvidos por computadores clássicos. A computação quântica oferece novas abordagens e capacidades que vão além do que a computação tradicional pode alcançar, permitindo soluções inovadoras em áreas como criptografia, simulações quânticas e otimização, que não se tratam apenas de aumentar a eficiência dos cálculos clássicos.

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