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

Published

15 October 2026

Topic

opportunities

◆ Sectors

Deep Tech: Quantum Computing

◆ Geography

Europe

◆ Source

Read at beaconjournal.com →

◆ Verified

Fusion42 · 16 October 2026 · Fusion42 review

FirstQFM's foundation model reduces single-qubit gate execution time by 33% on QuantWare's quantum processor using NVIDIA accelerated computing, improving gate fidelity without additional quantum hardware time. The model also enhances two-qubit gate calibration, boosting Bell-state fidelity for key qubit pairs on a 21-qubit superconducting quantum processor.

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

◆ ◆ The Wire takeaway

Quantum computing founders targeting superconducting qubits must update control software to leverage machine learning models like FirstQFM's for faster gate execution and improved fidelity. This approach shifts optimisation load to classical computing, opening new performance gains without extra hardware investment.

◆ Coverage

2 sources · 15 Oct 2026

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◆ Topics

Deep Tech: Quantum Computingquantum-computingaccelerationnvidiamachine-learningsuperconducting-qubits