Quantum

Qunova’s Hybrid Computing Method Matches Classical Benchmark for Iron-Sulfur Cluster

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 12/11/2026, 10:19:25 UTC.

Briefings

Qunova Computing announced its HI-VQE algorithm achieved chemical accuracy in an 80-qubit simulation of an iron-sulfur cluster using IBM and RIKEN's Fugaku supercomputers. The ground-state energy estimate of -327.2482 Hartree agreed within chemical accuracy with a leading classical benchmark of -327.2471 Hartree. This represents the first quantum algorithm to reach this precision at this scale, with a ~300x reduction in Fugaku node-hours compared to previous sample-based approaches.

Key points

• Qunova's HI-VQE algorithm reached chemical accuracy in an 80-qubit simulation of the 4Fe-4S iron-sulfur cluster using IBM and RIKEN's Fugaku supercomputers.
• The ground-state energy estimate of -327.2482 Hartree agreed within chemical accuracy with a leading classical benchmark of -327.2471 Hartree.

Context

Qunova Computing reported that its HI-VQE algorithm reached chemical accuracy in an 80-qubit simulation of an iron-sulfur cluster using an IBM quantum computer and RIKEN's Fugaku supercomputer. This result represents the most accurate quantum computation of the molecule to date, placing a quantum-based approach on equal footing with the strongest classical methods available today for one of the most demanding problems in chemistry.

Limitations

The evidence is limited to a single press release from Qunova Computing dated 2026-11-12. It does not include independent verification, peer review, or long-term validation data. The accuracy claim is based on a single comparison with one classical benchmark method, and the source does not provide details on the specific quantum circuit architecture or error correction methods used. The reported node-hour reduction is based on a single intermediate calculation and may not represent the full workflow efficiency.

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