Sign inGet started
Paper · arXiv

On the conditional equivalence of phase retrieval algorithms

Phase retrieval - recovering a complex-valued field from intensity measurements - is typically solved using variants of the Gerchberg-Saxton (GS) algorithm, understood as alternating projections between measurement planes. Meanwhile, modern computational imaging increasingly relies on gradient-based optimization and automatic differentiation. Here we show that these two approaches are mathematically identical: the GS magnitude replacement step is exactly a unit gradient descent step on an amplitude least-squares loss. This equivalence enables seamless integration of classical phase retrieval with differentiable physics pipelines. We further identify two complementary probabilistic interpr...

AuthorsJakob Schroeder, Andreas Döpp
Primary categoryphysics.optics
Published5 June 2026
Last updated at source5 June 2026
physics.opticscs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/8050c905-c39b-4b2a-b464-7362844598d6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.