Quantinuum Unveils Helios — the World’s Most Accurate Quantum Computer
Quantinuum has introduced Helios, a third-generation quantum computer that achieves record-breaking precision and is now available commercially through the cloud. The system represents a major leap toward practical quantum computing.
Unprecedented accuracy and design
Helios operates with 98 physical qubits based on barium ions, offering the highest accuracy ever recorded in the quantum industry. The system achieves 99.9975% fidelity for single-qubit operations and 99.921% for two-qubit gates — surpassing all existing benchmarks in the field.
These results are powered by Quantinuum’s advanced ion-trap technology, precision laser control, and real-time feedback architecture. The device integrates seamlessly with NVIDIA’s GB200 platform through the NVQLink interface, enabling hybrid quantum-classical computation and real-time error correction at unprecedented speed.
New programming language and computational power
Helios introduces **Guppy**, a Python-based programming language designed for hybrid quantum-classical workflows. Developers can build algorithms that dynamically shift workloads between CPUs, GPUs, and qubits depending on the complexity of the computation.
On the demanding Random Circuit Sampling benchmark, Helios solved a computation that would require “the energy of all the stars in the universe” for a classical supercomputer — yet consumed only as much power as a single server rack. This milestone demonstrates not only efficiency but also the growing practicality of quantum resources for real-world applications.
Corporate adoption and applications
Helios is already being used by several major corporations — including JPMorgan Chase, Amgen, BMW Group, and SoftBank — for research in **quantum chemistry, biological simulations, financial modeling, and energy optimization**. These collaborations showcase how quantum computing is transitioning from theory to enterprise-grade deployment.
For example, financial analysts at JPMorgan use Helios to optimize high-dimensional portfolio structures, while biochemists at Amgen simulate complex protein folding processes beyond the reach of classical systems.
Future roadmap: Sol and Apollo
Quantinuum has outlined a clear development path for the coming years:
- 2027 — Project Sol: a 192-qubit system with expanded modular connectivity.
- 2029 — Project Apollo: a large-scale quantum computer expected to reach thousands of qubits, approaching the threshold for full fault tolerance.
These next-generation systems aim to achieve quantum advantage across multiple industries, including materials science, logistics, and machine learning.
A new benchmark for quantum reality
Helios marks a decisive moment in the evolution of quantum computing — not just in theory, but in engineering precision, scalability, and commercial availability. With energy-efficient performance and integration with AI hardware, it sets the stage for a new era of hybrid computation that merges quantum physics with real-world problem-solving.
Editorial Team — CoinBotLab