Quantum leap for Apollo target as Quantinuum’s accuracy improves tenfold

Quantinuum reports achieving 99.9995% logical fidelity on its Helios computer, a new world record representing just five errors in a million operations. This result, ten times lower than the company’s September 2026 record and one hundred times lower than Google Quantum AI’s best published result, validates Quantinuum’s approach to building a universal fault-tolerant quantum computer, the company says. “With this result, we’ve proven that we have the error-correction architecture and trapped-ion technology required to achieve universal fault-tolerance,” says Dr. Rajeeb Hazra, CEO of Quantinuum, as the company remains on track for its 2029 Apollo target.

Helios Achieves 99.9995% Logical Fidelity with Error Correction

99.9995% logical fidelity, translating to just five errors per million operations, a new world record in quantum error correction. This result surpasses the company’s previous record set in September 2026 and significantly outperforms the best published results from other hardware platforms, including a superconducting system demonstrated by Google Quantum AI, according to Quantinuum. The achievement hinges on Quantinuum’s error-correction architecture and trapped-ion technology, which are rapidly improving the accuracy of quantum computations.

The latest study employed a “color code” within that architecture, yielding a logical qubit nearly 100 times better than its component physical qubits. This advancement is particularly notable because Quantinuum demonstrated these gains using the same Helios hardware as its September record, showing the adaptability of its system. The company’s ability to rapidly prototype different error-correction codes, Helix and now color code, allows optimization for specific strengths in accuracy, efficiency and speed, a key factor in scaling quantum computing.

This improved fidelity brings Quantinuum closer to its 2029 goal of realizing Apollo, a universal fault-tolerant quantum computer. A scaled-up version of the current system could achieve the reliability needed for useful computation with fewer than a million physical qubits, a threshold previously considered challenging.

Advertisement

“We have reduced error rates tenfold in rapid succession using a different code on the same commercial hardware, demonstrating the flexibility of our error-correction architecture,” the company reports. This flexibility, combined with the demonstrated accuracy, reinforces the viability of Quantinuum’s path toward commercial quantum computing and the potential to unlock value at scale, according to the company.

With this result, we’ve proven that we have the error-correction architecture and trapped-ion technology required to achieve universal fault-tolerance.

Dr. Rajeeb Hazra, CEO of Quantinuum

Quantinuum’s Architecture Scales Error Suppression via Code Distance

Demonstrating a direct relationship between the distance of its error-correction code and the suppression of errors in quantum computations, a finding important for scaling the technology, Quantinuum’s latest experiments achieve this result. This achievement builds on prior work using the Helix code, demonstrating the adaptability of Quantinuum’s approach to error mitigation, the firm reports. The significance of this result extends beyond a new record; it validates the underlying architecture and trapped-ion technology as a viable path toward fault-tolerant quantum computing.

This means that as the system grows, the ability to maintain accuracy improves at an accelerating rate. The company’s findings suggest that different applications may benefit from different codes as systems progress toward full fault-tolerance.

The paper demonstrates real, serious performance gains from quantum error correction, a logical qubit nearly 100x better than its component physical qubits.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: