Quantum
FirstQFM Model Cuts Single-Qubit Gate Times by 33% on QuantWare Processor
Publication: The Quantum Insider
Author: Mohib Ur Rehman
Source published: 15/10/2026, 09:21:07 UTC
Briefing created: 16/10/2026, 02:31:27 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 15/10/2026, 15:34:28 UTC.
Briefings
FirstQFM reduced single-qubit gate execution time by 33% on a 21-qubit QuantWare processor at the Israeli Quantum Computing Center, using existing calibration data to generate custom pulse-level implementations. This approach shifted optimization from scarce QPU time to classical compute while maintaining gate fidelity. The model identified five qubit pairs with improved Bell-state fidelity, with improvements confirmed in independent hardware runs.
Key points
- FirstQFM reduced single-qubit gate execution time by 33% on a 21-qubit QuantWare processor using existing calibration data.
- Five qubit pairs were identified with improved Bell-state fidelity, with improvements confirmed in independent hardware runs.
Context
FirstQFM applied its quantum foundation model to a QuantWare superconducting processor at the Israeli Quantum Computing Center, reducing single-qubit gate execution time by 33% without reducing gate fidelity. The work used Quantum Machines' control and calibration infrastructure alongside NVIDIA accelerated computing, and FirstQFM plans to expand its optimizations as QuantWare develops larger quantum processors.
Limitations
The evidence is limited to a single 21-qubit QuantWare processor run at the Israeli Quantum Computing Center. Improvements to two-qubit gates were identified but not independently confirmed in hardware runs. The model was developed using NVIDIA hardware and software before fine-tuning on the QuantWare processor, and future scaling for larger VIO-based QPUs remains untested.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 16/10/2026, 02:31:27 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
View archived briefing on IPFS
bafybeib4xucqfwoaooihu7xrg4v3z7uwpiw3wt3mkgxid2jdn32bj4lcga