Quantinuum has announced the commercial launch of Helios, a new general-purpose commercial quantum computer, positioning it for enterprise adoption. Helios features 98 all-to-all connected physical qubits with a single-qubit gate fidelity of 99.9975% and a two-qubit gate fidelity of 99.921% across all qubit pairs. The company points out that in its previous systems they were able to continually improve the performance metrics over time and expect that they will be able to do something similar with Helios in the future.
The system, which builds on its predecessor H2, was previously tested out with a select group of beta users and now has general availabilty through Quantinuum’s cloud service and on-premise offering. The company’s previous H2 generation machine has been available on Microsoft’s Azure Quantum platform for a while and it is likely that Helios will also be available there sometime in the future.
The Helios system implements several logical qubit capabilities:
- 94 logical qubits (error detected) globally entangled with better than physical performance.
- 50 logical qubits (error detected) with better than physical performance in a magnetism simulation.
- 48 fully error-corrected logical qubits achieved at a 2:1 encoding rate with 99.99% state preparation and measurement fidelity, a technique accomplished through code concatenation.
The architecture features a QCCD (Quantum Charged Coupled Device) ion trap that includes a first-of-its-kind commercial ion junction, enabling efficient qubit routing and scaling. Quantinuum has been working on this ion junction for several years. It is an essential technology for the company’s next generation processor, codenamed Sol, which will utilize a 2D grid layout and contains many more qubits. Helios will also provide more performance than the predecessor H2 system because it contains 8 zones for qubit operations (4 zones available for 2-qubit operations) versus the 4 zones in the H2. Additional speed improvements were made in the way the sorting, cooling, and gating operations are implemented. This provides additional speed and parallelism for completing the circuit calculations. The system utilizes barium qubits, which can be manipulated with visible spectrum lasers and provide atomic-level leakage detection. Helios integrates a real-time control engine and a new Python-based programming language, Guppy, to allow interleaved GPU-accelerated classical and quantum computations in a single program. (See our previous report about Guppy in our article here.)
The company is expanding its partnership with NVIDIA, integrating NVIDIA GB200 with Helios via NVIDIA NVQLink to accelerate quantum error decoding, treating it as a dynamic computational process. Quantinuum also signed a strategic partnership agreement with Singapore’s National Quantum Office (NQO) and National Quantum Computing Hub (NQCH), which includes installing the Helios system in Singapore by 2026 and establishing a local R&D and Operations Centre.
Helios launches with early users and collaborators including Amgen, BMW Group, JPMorganChase, and SoftBank Corp., targeting computational biology, financial modeling, and materials science. The company is also launching two new ecosystem programs: Q-Net (a customer forum) and a startup partner program.
With almost twice the number of qubits of its predecessor, significantly improved qubit fidelity, all-to-all connectivity, new software, and other features Quantinuum asserts that Helios is the most powerful quantum computer in the world. That may be true right now in 2025, but we will remind our readers that 2026 is just around the corner and we expect a ton of new announcements from the other hardware providers over the next 12 months.
Read Quantinuum’s full press release announcing Helios here, a blog post about it can be accessed here, a product data sheet is available here, and a detailed technical paper that can be found here.
November 5, 2025
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