By John Meyer, consultant in business – Eurasia Business News, November 5, 2025. Article no 1887
Quantinuum unveiled Helios, its next-generation quantum computer, marking a significant advancement in quantum computing technology. Helios features 98 physical qubits and can deliver 48 logical error-corrected qubits, achieving a unique 2:1 ratio considered rare in the industry.
The system is designed to accelerate enterprise adoption of quantum computing by providing the highest fidelity of any commercial quantum computer and enabling hybrid quantum-classical computing.
Helios comes with a new full-stack software platform, including a Python-based programming language called Guppy and Selene, an emulator that mirrors the behavior of Helios for testing and verification. This stack improves programming accessibility, error correction, and time-to-solution for critical quantum applications. Helios is accessible both through Quantinuum’s cloud service and on-premise offerings.
Early collaborators using Helios include JPMorgan Chase, Nvidia, SoftBank, Amgen, and BMW Group, focusing on applications like generative quantum AI, materials research, finance, and energy.
The system integrates with NVIDIA’s GB200 processors for real-time error correction and enhanced computing capabilities. Quantinuum positions Helios as a pivotal step from research-oriented quantum computing to commercial use, unlocking new possibilities in industries such as drug discovery, sustainable mobility, and finance.
NVIDIA’s GB200 is a high-performance, liquid-cooled, rack-scale system designed for large-scale AI and high-performance computing workloads. It features 36 Grace Blackwell Superchips, each combining 2 Blackwell GPUs and 1 Grace CPU, for a total of 72 Blackwell GPUs and 36 Grace CPUs per cluster.
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© Copyright 2025 – Eurasia Business News. Article no. 1887
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