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    Home»Science»The race to build practical quantum computers is accelerating — but major obstacles remain
    Science

    The race to build practical quantum computers is accelerating — but major obstacles remain

    USERBy USER23 kovo, 2026Komentarų: 02 Mins Read
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    Quantum computing has long been described as a revolutionary technology capable of solving problems beyond the reach of classical machines. Now, researchers and technology companies say the field is entering a more practical phase — though the path to widespread use remains uncertain.

    Unlike traditional computers, which process information in binary bits, quantum computers use quantum bits, or qubits, that can exist in multiple states simultaneously. In theory, this allows them to perform certain calculations exponentially faster than classical systems.

    Companies including IBM, Google and Intel have made steady progress in increasing the number and stability of qubits. Governments are also investing heavily, viewing quantum technology as strategically important for fields such as cryptography, materials science and national security.

    Recent developments have focused less on headline-grabbing breakthroughs and more on engineering challenges: reducing error rates, improving coherence times and building systems that can operate reliably outside highly controlled laboratory environments.

    One of the key hurdles is error correction. Quantum systems are extremely sensitive to noise and environmental interference, making it difficult to maintain stable calculations long enough to produce useful results. Researchers are exploring new architectures and algorithms designed to overcome these limitations.

    Despite the challenges, momentum is building. Some experts believe that early practical applications — particularly in chemistry and optimisation problems — could emerge within the next decade.

    Still, the gap between experimental success and real-world deployment remains significant. Quantum computing is no longer just a theoretical ambition, but it is not yet a mainstream technology either.

    For now, it sits in a transitional space — one where scientific progress is clear, but the timeline for transformation is still uncertain.

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