Quantinuum achieves high accuracy with 98-qubit trapped-ion processor
The Helios system demonstrates a significant reduction in error rates and introduces all-to-all connectivity, moving quantum computing toward functional industrial application.
Dr. Ines Havel
Jul 3, 2026 · 1 min read
Ninety-eight atoms are currently suspended by electric fields in a Broomfield, Colorado, laboratory, cooled to temperatures approaching absolute zero. These ions serve as the hardware for Helios, a new quantum processor from Quantinuum that shifts the focus of the industry from raw qubit counts to operational fidelity. While previous systems, such as the 56-qubit System Model H2, established the architecture's viability, the latest results published in Nature suggest a transition toward machines capable of executing long-form algorithms that classical supercomputers cannot easily replicate.
The technical merit of the Helios system lies in its error management. In quantum computing, the fragility of qubits usually leads to information decay before a calculation can be completed. Quantinuum reports an average error rate for single-qubit gates of 2.5 in 100,000, while the more complex two-qubit gates—the fundamental building blocks of quantum logic—show an error rate of 7.9 in 10,000. These figures place the hardware near the top of the field for accuracy at this scale, a prerequisite for the eventual simulation of complex chemistry and material science.
Helios utilizes a Quantum Charge-Coupled Device (QCCD) architecture, functioning effectively as a microscopic railway for information. Barium ions are stored in a memory ring and physically moved into designated operation zones when a program requires them. This physical mobility allows for all-to-all connectivity, meaning any qubit in the system can interact directly with any other. Unlike grid-based processors where information must hop through neighboring qubits—accumulating errors at each step—the QCCD approach allows for more efficient routing of complex logic circuits.
The system is managed by software that makes real-time decisions on ion routing and gate sequencing. This internal orchestration is a necessary evolution for running dynamic programs, where a calculation's later steps depend on intermediate measurements. While the machine's ability to run random quantum circuits serves as a benchmark for computational depth, the broader significance of the Helios results is the demonstration of a scalable, high-accuracy path toward general-purpose quantum machinery.