Key Findings
An independent study by the Jülich Supercomputing Centre found that Quantinuum’s Helios system outperformed superconducting processors in operations essential to quantum error correction. Specifically, the effective hardware error of Helios was approximately 13 times lower at 30 data qubits and eight times lower at 50 data qubits than the comparable superconducting results.
Technical Details
The performance gap was particularly evident during mid-circuit measurements, which caused substantially greater degradation on superconducting processors than on Quantinuum systems. Because fault-tolerant computation requires repeated mid-circuit measurements, conditional operations, and real-time coordinated scheduling, this difference directly impacts the amount of computation a machine can sustain.
Furthermore, the QCCD architecture provided superior architectural flexibility. Researchers successfully tested three error-correcting code families on Quantinuum’s systems:
- Surface-code
- Triangular color-code
- Bivariate-bicycle qLDPC code
In contrast, superconducting devices were limited to the surface code due to connectivity and control restrictions.
Background & Context
The flexibility of the QCCD architecture is driven by mobile qubits, which allow for higher connectivity than traditional superconducting processors. This enables researchers to explore multiple codes to reduce the time and qubit overheads associated with fault tolerance. These findings build upon previous independent research regarding Quantinuum’s physical-level performance.
Significance & Outlook
As the industry moves beyond the NISQ era, the demands of error correction are highlighting the differences between hardware architectures. Quantinuum asserts that its investments in fidelity, integrated control, and flexible connectivity provide the foundation for more capable machines. Additionally, the company is expanding the practical application of these systems through initiatives like the InQuanto Summer School at Newnham College, Cambridge, where researchers apply quantum computing to molecular electronic structure and chemical systems.
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