Quantum computing has long been described as a technology perpetually a decade away from practical relevance. However, recent advancements in the technology may bring quantum computing to bear sooner than projected. Three areas of recent progress tell that story: hardware stability, real-world problem-solving, and the resource requirements for error correction. In each, results have arrived sooner than most of the research community predicted.
For starters, continued research into quantum computing has made the technology more stable over time. Qubits are the computing units of quantum machines, capable of representing multiple states simultaneously rather than being limited to a binary value. That capability enables computations classical systems cannot match, but qubits are highly sensitive to interference and can decohere unpredictably.
Google’s Willow processor demonstrated that in late 2024. As the qubit count rose, accuracy improved rather than declined, and the processor eliminated errors faster than new ones formed. Published in Nature, that result marked the crossing of what researchers call the fault-tolerance threshold.
Quantum computing hardware designs are also making definite progress and are increasingly performing at higher levels compared to classical computers. Quantinuum, based in Colorado, uses ions as qubits, achieving higher accuracy than superconducting processors at the cost of speed. QuEra, headquartered in Boston, has achieved strong results using a separate technique in which lasers manipulate neutral atoms.
Aaronson, a computer scientist at the University of Texas at Austin, tracks all three approaches closely. He argues that the diversity of viable architectures raises the likelihood that at least one will prove scalable.
Real-world problem-solving is the second area of notable progress. In November 2025, Quantinuum reported solving the Fermi-Hubbard model, a core problem in condensed matter physics, using its hardware. Computing a full solution to that model is beyond what conventional computers can manage in any practical timeframe.
Doing so could inform the search for materials that conduct electricity without resistance at ordinary temperatures, a goal that has eluded physicists for generations. Aaronson described the result as a credible instance of quantum advantage with genuine scientific value.
The third breakthrough concerns how many qubits fault-tolerant computing actually requires. Prior estimates placed the qubit count for full fault tolerance in the millions. A Caltech-led paper proposed a fault-tolerant architecture that its authors calculate could work with approximately 10,000 qubits.
Google also published results showing that a well-known factoring procedure could attack public-key cryptography with far fewer qubits than earlier thought. Where a year ago that procedure was thought to need millions of qubits, current estimates now run around 25,000 to 30,000.
These advances do not mean quantum computing is about to transform daily life. Hardware must expand significantly, background noise must come down further, and many proposed applications have yet to be demonstrated in practice. But something has shifted. The research community that a few years ago was skeptical about near-term progress is reassessing that position as quantum hardware starts to deliver results that theorists projected decades ago, earlier than expected.
The founding of many quantum computing companies, such as D-Wave Quantum Inc. (NYSE: QBTS), and the progress they are making in their programs provides further support to the view that quantum computing is likely to go mainstream much sooner than forecasts previously suggested.
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