FirstQFM Says Quantum System Beats Classical Forecasting Benchmarks
thequantuminsider.com Nov 3, 2026

FirstQFM Says Quantum System Beats Classical Forecasting Benchmarks

AI-summarised brief · reviewed before publication

FirstQFM reported that its quantum reservoir computing (QRC) system, built on a proprietary billion‑parameter foundation model and run on Rigetti’s Cepheus‑1‑108Q hardware, surpassed all classical benchmarks in a financial‑forecasting test. The evaluation, using anonymized data for 43 assets over 600 out‑of‑sample periods, measured next‑day directional accuracy, macro‑F1, cumulative gross portfolio profit and annualized Sharpe ratio. The QRC achieved 52.02% directional accuracy, 51.76% macro‑F1, and delivered 112% higher cumulative gross P&L than the best classical model, with a Sharpe of 1.22 versus 1.02 for the top classical result. It outperformed across 36 of 43 assets on directional accuracy and posted positive profit on 41 assets. A five‑asset subset generated an even higher Sharpe of 1.73, demonstrating quantum advantage for finance applications.

💡 Why It Matters

  • · The performance gap gives asset managers a concrete, profit‑driving use case for deploying near‑term quantum processors in real‑world trading strategies.