Quantum

Optimal Control of a Fluxonium Circuit with the Q-PRONTO Numerical Method

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 26/10/2026, 04:13:25 UTC.

Briefings

A new Q-PRONTO method achieves quadratic convergence for fluxonium qubit gates, reducing single-qubit gate errors to 6.6e-4. This work uses the QICK firmware to implement arbitrary pulse sequences on a superconducting circuit, demonstrating a significant improvement over linear-convergence baselines.

Key points

• The Q-PRONTO method achieves quadratic convergence for fluxonium qubit gates, whereas most model-based solvers only guarantee approximately linear convergence rates.
• Single-qubit gate errors were reduced to 6.6e-4 using the QICK firmware modified for arbitrary pulse sequences on a fluxonium circuit.

Context

This research addresses resource-intensive optimization of large quantum systems by introducing Q-PRONTO, a quadratic convergence method for trajectory optimization. The study benchmarks this approach on a fluxonium superconducting qubit using the QICK firmware.

Limitations

Performance was evaluated using standard randomized benchmarking. The study is a proof of concept with limited scope, and the specific hardware implementation details beyond the QICK firmware modifications are not fully detailed.

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