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Quantinuum Launches Helios Quantum Computer with Industry-Leading Fidelity and Singapore Partnership

Mohamed Abdel-Kareem
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⚡ Quantum Brief
Quantinuum unveiled Helios, a 98-qubit commercial quantum computer with record-breaking 99.9975% single-qubit and 99.921% two-qubit gate fidelities, surpassing industry benchmarks for enterprise-grade performance. The system achieves 48 fully error-corrected logical qubits via code concatenation, with 99.99% state fidelity, and introduces a QCCD ion trap with a commercial ion junction for scalable qubit routing. Helios integrates NVIDIA’s GB200 GPUs via NVQLink for real-time error decoding and features Guppy, a Python-based language enabling hybrid GPU-quantum computations in one program. Singapore’s National Quantum Office will host Helios by 2026 under a new R&D partnership, expanding Quantinuum’s global footprint with a dedicated operations center. Early adopters include Amgen, BMW, JPMorgan Chase, and SoftBank, targeting applications in drug discovery, financial modeling, and materials science through cloud and on-premise access.
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Quantinuum has announced the commercial launch of Helios, a new general-purpose commercial quantum computer, positioning it for enterprise adoption. Helios features 98 fully 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 system, which builds on its predecessor H2, is available through Quantinuum’s cloud service and on-premise offering. 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. 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. 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. Read the full announcement here. November 5, 2025

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partnership
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quantum-commercialization
quantum-computing
quantum-error-correction
quantum-finance
quantum-hardware
quantum-optimization
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Source: Quantum Computing Report

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