Accuracy Is the Foundation of Meaningful Quantum Computing

# Accuracy Is the Foundation of Meaningful Quantum Computing Source: [https://www.quantinuum.com/blog/accuracy-is-the-foundation-of-meaningful-quantum-computing](https://www.quantinuum.com/blog/accuracy-is-the-foundation-of-meaningful-quantum-computing) Recently, industry peers—including Quantinuum’s Startup Program Partners[Qedma](https://www.qedma.com/)and[BlueQubit](https://www.bluequbit.io/), as well as our partner[RIKEN](https://www.riken.jp/en/)—published a[paper](https://arxiv.org/pdf/2607.24937)exploring quantum magnetism that “extends beyond the reach of the state\-of\-the\-art classical methods considered;” evidence of a quantum advantage result\. Interestingly, the team validated their results on Quantinuum machines \(both Helios and System Model H2\)\. In 2025,[we published a paper \(now in Nature](https://www.nature.com/articles/s41586-026-10445-3)\), exploring a similar system \- also at scales that frustrate classical computation\. This got us thinking: with more successes like this in the literature, what does this mean for the ecosystem at large? What are the key lessons to learn from these early demonstrations? And, perhaps most importantly, what’s next? ##### **We Are Entering the Era of ‘What’, Not ‘When’** The answer to the first question, ‘what does this mean for the ecosystem at large’, is a delight to answer\. After decades of promises, we are finally in the era where quantum computing is matched with, if not outright exceeding, classical HPC and supercomputing\. Examples of \(complexity\-theory proven\) quantum advantage are already common, usually in the form of[Random Circuit Sampling](https://link.aps.org/doi/10.1103/PhysRevX.15.021052)\. This was extended to[generating certified randomness](https://www.nature.com/articles/s41586-025-08737-1), which was one of the earliest commercial applications of quantum computing\. Since then, we have seen a number of results from different groups that push the limits of classical computing while exploring ‘real’ problems; these range from papers exploring[quantum magnetism](https://www.nature.com/articles/s41586-026-10445-3)\(as mentioned above\), to papers exploring things like[superconductivity](https://arxiv.org/pdf/2511.02125)or[peaked circuits\.](https://arxiv.org/pdf/2510.25838) Whether or not these are definitively ‘quantum advantage’ results is almost beside the point\. They mark a distinct place on the path towards broad scale quantum utility, when quantum computers will be widely useful for researchers and industry alike\. More importantly, these papers all speak to a certain level of ‘technological readiness’, showing that quantum computers are now proven to work on problems that are relevant \(to some people, at least\), at scales that aren’t easily reproduced elsewhere\. ##### **Accuracy is a Baseline Requirement** One of the key lessons we can learn from all these demonstrations is that hardware accuracy is paramount\. Without accuracy, quantum computers are very expensive noise generators, unable to move the needle beyond HPC\. Happily, we are finding that current generation machines are still capable of quite a lot, thanks to baseline physical accuracy, optionally coupled with clever error mitigation on top\. In general, we are very pleased to see how error mitigation can significantly reduce the impact of hardware errors and improve the quality of computed results by applying sophisticated post\-processing techniques\. However, error mitigation is not free\. As hardware noise increases, mitigation becomes increasingly computationally expensive, and the techniques themselves can skew the results\. If the underlying hardware is insufficiently accurate, it becomes more difficult to distinguish genuine physical phenomena from artifacts introduced via mitigation\. This is precisely where hardware quality matters\. The validation on Quantinuum systems provided an important independent confirmation that the mitigated results from another vendor reflected real physical behavior rather than bias introduced through the mitigation process\. Because Quantinuum's hardware operates with substantially lower native error rates, it served as a high\-confidence reference point for validating scientific results\. Importantly, this validation was about confirming the underlying physics, not validating a claim of quantum advantage\. ##### **Hardware Accuracy Improves Computational Efficiency** All the above reflects our systems' strong native performance: when hardware begins with exceptionally high fidelity, there is simply less error to overcome\. However, error mitigation remains an interesting and valuable approach: high\-quality hardware establishes the baseline, and software extends what is possible\. However, native accuracy affects more than scientific confidence—it also influences computational efficiency\. As program complexity and size increases, hardware error rates increase, and successful error mitigation generally requires more sampling, more processing, and more computational resources\. The lower the physical fidelity, the greater the overhead required before arriving at trustworthy results\. By starting with significantly lower native error rates, Quantinuum systems reduce the amount of mitigation needed to achieve comparable scientific outcomes\. This creates a practical advantage in computational cost while helping to preserve confidence in the resulting data\. ##### **Accuracy is the Foundation for Fault Tolerance** Finally, we can answer the question of what comes next\. This may seem obvious, but it’s multifaceted\. What’s next is large\-scale fault tolerant quantum computing\. But the real question is, what does that look like? A truly large\-scale fault tolerant quantum computer will operate with error correction embedded into the workflow, working on the ‘logical’ level\. That means that programmers will write their code to operate on logical qubits, with all the mechanisms of error correction hidden under the hood\. The result will be error rates low enough to run some truly behemoth workflows\. We are well along the path to realizing this[at scale](https://arxiv.org/abs/2602.22211): we have demonstrated[all the necessary primitives](https://arxiv.org/abs/2506.14688), have world\-leading[logical error rates](https://arxiv.org/abs/2503.22107), and have a platform[flexible enough to use new codes](https://arxiv.org/abs/2408.08865)as they are invented; a crucial advantage in a quickly\-evolving landscape\. All of this is enabled by our high native accuracy; the accomplishments listed would be impossible without hardware that wasn’t ultra\-low error to begin with\. However, even with the full force of error correction, error mitigation may still play an important role in the post fault\-tolerance era\. While error correction will be applied broadly to all workflows, there will still be some special cases where error mitigation may stretch the hardware further, always ensuring we stay on our front foot as computational power grows\. ##### **Progress Is the Real Milestone**‍ Scientific breakthroughs matter because they move the field forward\. But lasting enterprise value will come from quantum computers that consistently deliver results organizations can trust\. With Helios—the world's most accurate commercial quantum computer\[1\]—and a growing ecosystem of partners building complementary technologies, Quantinuum is creating the accurate, scalable foundation needed to transform scientific achievements into practical quantum computing\. \[1\]Based on two qubit gate fidelity, as of December 31, 2025\.