aiqbench takeQuantum Computing

This research demonstrates that optimizing quantum control pulses using phase-only methods via the GRAPE algorithm offers significant speed and simplicity advantages over traditional phase-and-amplitude approaches. By leveraging Trotterisation, the study proves these simplified designs are fundamentally equivalent to more complex implementations, allowing for robust conversion when necessary. This advancement streamlines the design of high-fidelity operations essential for scalable quantum computing architectures.

Source coveringarXiv

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Phase-only control of GRAPE shaped pulses

arXivSeptember 14, 20261 min read

arXiv:2606.09624v3 Announce Type: replace Abstract: We compare phase-only control with phase-and-amplitude control when designing shaped pulses using the GRAPE algorithm, and explain why phase-only control has significant advantages. Trotterisation can be used to simulate amplitude modulation with phase modulation, indicating that the two approaches are fundamentally equivalent. Pulses designed by either method can be interconverted, but phase-only optimization is faster and simpler. The resulting pulses can then be converted into phase-and-amplitude form for more robust implementation if desired.

Abstract:We compare phase-only control with phase-and-amplitude control when designing shaped pulses using the GRAPE algorithm, and explain why phase-only control has significant advantages. Trotterisation can be used to simulate amplitude modulation with phase modulation, indicating that the two approaches are fundamentally equivalent. Pulses designed by either method can be interconverted, but phase-only optimization is faster and simpler. The resulting pulses can then be converted into phase-and-amplitude form for more robust implementation if desired.

arXiv:2606.09624 [quant-ph]

(or arXiv:2606.09624v3 [quant-ph] for this version)

From: Jonathan A. Jones [view email] [v1] Mon, 8 Jun 2026 15:26:19 UTC (152 KB) [v2] Fri, 3 Jul 2026 15:48:33 UTC (155 KB) [v3] Fri, 11 Sep 2026 11:35:59 UTC (158 KB)

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