aiqbench takeQuantum Computing

FirstQFM's foundation model successfully shifts optimization burdens from scarce quantum hardware to classical compute, achieving a 33% reduction in two-qubit gate times on QuantWare's Contralto-D21 processor. By leveraging NVIDIA infrastructure and CUDA-Q, the approach enhances Bell-state fidelity for critical entanglement operations without compromising gate accuracy. This strategy represents a significant step toward scaling quantum systems by maximizing hardware efficiency through classical pre-computation.

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FirstQFM’s model boosts two-qubit connections on QuantWare hardware

Quantum ZeitgeistOctober 15, 20262 min read

FirstQFM’s model achieved 33% faster gate times on QuantWare’s Contralto-D21 QPU, notably improving more complex, entanglement-critical operations between qubits.

FirstQFM reports achieving 33% shorter gate times on a QuantWare Contralto-D21 quantum processor by applying its quantum foundation model, validated through randomized benchmarking without loss of gate fidelity. The model generated optimized pulse-level gates using calibration data…

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