aiqbench takeQuantum Computing

This breakthrough demonstrates how quantum foundation models can optimize pulse-level gate implementations on superconducting hardware, significantly reducing execution times while maintaining fidelity. By shifting optimization from scarce quantum processor time to classical compute, this approach offers a scalable path for improving qubit performance as processors scale beyond 21 qubits. The integration of NVIDIA accelerated computing further highlights the growing role of hybrid classical-quantum workflows in advancing quantum control stacks.

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FirstQFM Model Cuts Single-Qubit Gate Times by 33% on QuantWare Processor

The Quantum InsiderOctober 15, 20263 min read

Insider Brief PRESS RELEASE — FirstQFM today announced results from applying FirstQFM’s quantum foundation model to a QuantWare superconducting quantum processor at the Israeli Quantum Computing Center (IQCC). FirstQFM’s foundation model builds on top of Quantum Machines’ native calibration stack, and generated single-qubit gates that reduced execution time by 33% on a QuantWare Contralto-D21 QPU. […]

FirstQFM applied its quantum foundation model to a 21-qubit QuantWare superconducting processor at the Israeli Quantum Computing Center, reducing single-qubit gate execution time by 33% without reducing gate fidelity. The model generated custom pulse-level gate implementations from existing calibration data and identified five qubit pairs with…

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