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FirstQFM Foundation Model Delivers 33% Shorter Gate Times on QuantWare QPU ...

Published

15 October 2026

Topic

technology

◆ Sectors

Quantum Computing

◆ Geography

Sweden

◆ Source

Read at einnews.com →

◆ Verified

Fusion42 · 15 October 2026 · Fusion42 review

FirstQFM's foundation model applied to QuantWare's superconducting quantum processor reduces single-qubit gate times by 33% without loss of fidelity, using NVIDIA accelerated computing and Quantum Machines' calibration technology.

This Wire brief sits within Fusion42's coverage of Quantum Computing, and 2 sources have reported it.

◆ ◆ The Wire takeaway

You must accelerate your quantum processor optimisation using classical computing or risk falling behind. FirstQFM shows how linking machine learning with existing calibration data can cut operation times and boost fidelity without extra hardware time.

◆ Coverage

2 sources · 15 Oct 2026

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◆ Topics

Quantum Computingquantum-computingmachine-learningnvidiahardware-optimizationquantum-calibration