Quantinuum Breaks Error-Correction World Record by 10x, Validating Its Leading Path to Fault-Tolerant Quantum Computing by 2029
Each tested increase in error-correction code distance reduced remaining logical errors by a factor of 12.
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Rhea-AI Summary
Quantinuum (NASDAQ: QNT) achieved 99.9995% logical fidelity, a measure of error-corrected accuracy, in a study on its Helios quantum computer. The result equals five errors per million operations. The error rate was 10 times lower than its September 2026 result and 100 times lower than the best published result across other hardware modalities, reported by Google Quantum AI.
The study used a color code, an error-correction method, on the same hardware as the earlier demonstration. Each tested increase in code distance, which determines protection against errors, reduced remaining logical errors by a factor of 12. Quantinuum says accuracy is now within the target range for Apollo, its planned fault-tolerant quantum computer expected by 2029.
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Rhea-AI Sentiment measures something else, the tone of the wording.
Positive
- Moderate pointHelios achieved 99.9995% logical fidelity, equivalent to five errors per million operations.
- Minor pointLogical error rate was 10 times lower than September 2026 and 100 times lower than other hardware modalities’ best published result.
- Minor pointEach tested increase in code distance reduced remaining logical errors by a factor of 12.
- Minor pointQuantinuum says accuracy is within the target range for Apollo, expected by 2029.
Negative
- Minor pointColor code required up to 37 physical qubits per logical qubit, versus 10 for Helix, while delivering lower error rates.
News Explained
On Helios, the color code used up to 37 physical qubits per logical qubit, versus 10 for the Helix code demonstrated in
Key Figures
- Logical fidelity
- 99.9995%
- Helios result; equivalent to five errors per million operations
- Error-rate improvement vs. Quantinuum's prior record
- 10x lower
- Compared with Quantinuum's own prior record
- Error-rate improvement vs. other hardware modalities
- 100x lower
- Compared with the best published result across other hardware modalities
- Logical-error reduction
- 12x per tested increase
- Each tested increase in code distance
- Physical qubits per logical qubit
- 10 (Helix) vs. up to 37 (color code)
- Both codes ran on Helios; the color code delivered lower logical error rates
- Apollo expected availability
- By 2029
- Planned universal fault-tolerant quantum computer
Key Terms
logical fidelity technical
logical qubit technical
trapped-ion technology technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
- Quantinuum's Helios computer achieves a world-record
99.9995% logical fidelity—just five errors in a million operations—using the company's error-correction architecture. - Error rate is 10x lower than Quantinuum's own September 2026 record and 100x lower than the best published result across all other hardware modalities, which was reported by Google Quantum AI using a superconducting system.
- Quantinuum's successive breakthroughs used different codes on the same hardware, demonstrating how its error-correction architecture and trapped-ion technology drive rapid gains in accuracy, with performance now in the target range for Apollo.
The achievement reinforces Quantinuum's error-correction leadership and validates that its accuracy performance is now within the target range for Apollo, the company's planned universal fault-tolerant quantum computer expected to be available by 2029.
Quantinuum's architecture is an end-to-end framework programmable through the company's developer platform. It integrates tailored AI decoders, all-to-all qubit connectivity, high-fidelity physical operations, and hardware-level error correction. This architecture also allows the company to test, refine, and combine different error-correction codes and optimize between accuracy and efficiency.
In the latest study, Quantinuum used a well-known 'color code' within this architecture to achieve the world-record logical fidelity result, which is equivalent to just five errors per million operations. The error rate is 10 times lower than Quantinuum's own world record achieved last month and 100 times lower than the best published result across all other hardware modalities, which was reported by Google Quantum AI on a superconducting system.
"With this result, we've proven that we have the error-correction architecture and trapped-ion technology required to achieve universal fault-tolerance," said Dr. Rajeeb Hazra, CEO of Quantinuum. "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. We've crossed the threshold necessary for exponential improvements in accuracy, reinforcing our path to Apollo and how we can help users unlock commercial value from quantum at scale."
The study also showed that logical errors fell exponentially as Quantinuum increased the 'code distance,' a technique used to understand how many physical qubits are needed to protect quantum information as the error correction scales. Each tested increase reduced the remaining logical errors by a record factor of 12, demonstrating increasingly effective error suppression as the code grows—a critical capability for scaling fault-tolerant quantum computing. Quantinuum believes this result suggests it can deliver fault-tolerance with significantly fewer qubits than are required for other modalities.
"This is a significant milestone that quantum computing researchers have been working toward for many years," said Robin Blume-Kohout, Co-director of Sandia National Laboratories' Quantum Performance Lab, who was not involved in the study. "The paper demonstrates real, serious performance gains from quantum error correction—a logical qubit nearly 100x better than its component physical qubits. A scaled-up version of this system could reach the reliability required for useful fault-tolerant computation at a feasible size—less than a million physical qubits—which improves the outlook for practical quantum computing. These findings go a long way to retire one of the field's central technical risks."
In September 2026, Quantinuum used the same error-correction architecture with its Helix code to demonstrate record-setting logical memory and computation. Both studies ran on the same Helios hardware.
The two demonstrations illustrate how Quantinuum can rapidly prototype different error-correction codes within the same architecture to optimize for relative strengths in accuracy, efficiency, and speed. On Helios, Helix used 10 physical qubits per logical qubit, compared with up to 37 for the color code, while the color code delivered lower logical error rates. This provides insight into which applications pair best with each code as systems advance toward fault-tolerance.
Quantinuum's error-correction architecture is flexible, allowing for adaptive syndrome extraction, which adjusts error-checking measurements during computation, and chain-mapping, which connects codes suited to different computational tasks. Together with efficient code structures and real-time decoding, these techniques provide multiple ways to reduce errors and resource requirements.
Quantinuum is combining its hardware, error-correction architecture, and full-stack software platform into an integrated system for fault-tolerant quantum computing. As customers prepare for this next era of computing, Quantinuum is providing the tools needed to develop and scale quantum applications capable of addressing challenges across materials science, chemistry, finance, logistics, and other critical sectors.
Read the full research here: quantinuum.com/fault-tolerance-by-2029
About Quantinuum
Quantinuum is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of trapped-ion based quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry's highest accuracy levels based on average two-qubit gate fidelity. Quantinuum has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets, as well as academic and research institutions globally. The company has a global workforce of approximately 800 employees, including top scientists and researchers. Over
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are intended to be covered by the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. All statements other than statements of historical fact are forward-looking statements, including statements about Quantinuum's path to and the expected timing of Apollo, its planned universal fault-tolerant quantum computer, by 2029; the expected performance, scalability and resource requirements of Quantinuum's logical error-correction architecture, error-correction codes and trapped-ion hardware, including the number of physical qubits required to achieve fault tolerance relative to other approaches; the pace of future improvements in logical error rates, Quantinuum's ability to help customers prepare for and realize commercial value from fault-tolerant quantum computing; and the potential impact of quantum computing on sectors including materials science, chemistry, finance and logistics. Words such as "aim," "anticipate," "believe," "confidence," "could," "expect," "explore," "intend," "may," "path," "plan," "potential," "seek," "suggest," "will," "would" and similar expressions identify forward-looking statements, although not all forward-looking statements contain these words.
Forward-looking statements are based on Quantinuum's current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied. These risks include, among others: the results described in this press release were achieved in experimental settings and may not be able to be replicated at a larger scale, in logical computation, or in commercial use; Quantinuum may be unable to scale its systems, increase qubit counts or integrate its hardware, error-correction framework and software as planned; Quantinuum may not achieve its technology roadmap, including Apollo, on the expected timeline or at all; the pace of technical progress in quantum computing; Quantinuum's ability to maintain the availability and performance of its systems, including Helios; competition, including advances by companies using other quantum computing modalities or architectures; the availability of funding, personnel and government support; and the other risks described under "Risk Factors" in Quantinuum's Quarterly Report on Form 10-Q for the quarter ended June 30, 2026 and its subsequent filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date of this press release. Quantinuum undertakes no obligation to update any forward-looking statement, except as required by law.
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SOURCE Quantinuum
FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
What did Quantinuum's Helios quantum error-correction study achieve?
Helios achieved 99.9995% logical fidelity, equivalent to five errors per million operations, using a color code. Its logical error rate was 10 times lower than Quantinuum's September 2026 result and 100 times lower than the best published result across other hardware modalities, reported by Google Quantum AI.
When does Quantinuum expect its Apollo quantum computer to be available?
Quantinuum expects its planned universal fault-tolerant quantum computer, Apollo, to be available by 2029. The company says the accuracy demonstrated in the Helios study is now within Apollo's target range.
How do Quantinuum's color code and Helix code compare?
The color code delivered lower logical error rates but used up to 37 physical qubits per logical qubit, compared with 10 for Helix. Both studies ran on the same Helios hardware, using the same error-correction architecture with different codes.