FirstQFM Foundation Model Cuts Quantum Gate Times by 33% on QuantWare QPU via NVIDIA Computing
quantumcomputingreport.com Oct 16, 2026

FirstQFM Foundation Model Cuts Quantum Gate Times by 33% on QuantWare QPU via NVIDIA Computing

AI-summarised brief · reviewed before publication

FirstQFM AB reported that its quantum foundation model reduced single‑qubit gate times by 33 % on QuantWare’s 21‑qubit Contralto‑D21 superconducting processor, while preserving gate fidelity. The improvement was achieved using zero‑shot, pulse‑level optimizations generated from existing calibration data, without extra QPU runtime, and was validated through randomized benchmarking at the Israeli Quantum Computing Center. The model runs on NVIDIA’s accelerated computing stack, including the Leonardo supercomputer and the CUDA‑Q platform, before fine‑tuning for QuantWare hardware. In addition to speed gains, the model adjusted pulse shapes to raise two‑qubit Bell‑state fidelities on five qubit pairs, mitigating cross‑talk and drift as QuantWare moves toward larger VIO‑based architectures. The results were showcased ahead of NVIDIA’s GTC Berlin 2026, demonstrating a clear path to scaling.

💡 Why It Matters

  • · By shaving a third off gate durations without sacrificing fidelity, FirstQFM’s model accelerates quantum circuit execution, directly lowering error accumulation and bringing near‑term superconducting processors closer to practical advantage.