Research
Qunova’s Hybrid Computing Method Matches Classical Benchmark for Iron-Sulfur Cluster
The Quantum Insider · By Matt Swayne ·
The Brief
- Qunova Computing reported that its HI-VQE algorithm reached chemical accuracy in an 80-qubit simulation of an iron-sulfur cluster.
- The simulation ran on an IBM quantum computer together with RIKEN's Fugaku supercomputer.
- The workflow's extrapolated ground-state energy estimate agreed with the classical benchmark within chemical accuracy.
Why it matters
It is a reported hybrid quantum-classical result on a chemically relevant iron-sulfur system, a class of molecules that is hard to model classically. Readers should still treat it as a single company's report of a benchmark comparison.
Who’s affected
- quantum chemists and computational chemists
- researchers working on quantum computing for molecular simulation
- #quantum computing
- #quantum chemistry
- #hybrid algorithms
- #iron-sulfur clusters
- #vqe
Insider Brief 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. The workflow’s extrapolated ground-state energy estimate agreed within…
Timeline
Qunova reported that HI-VQE reached chemical accuracy in the 80-qubit iron-sulfur cluster simulation
The Quantum Insider
Qunova’s Hybrid Computing Method Matches Classical Benchmark for Iron-Sulfur Cluster