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Solving Distance-Based Optimization Problems Using Optical Hardware

Published in ArXiv.org • Jul 15, 2025
NobleIDNI1P71W95R42S82
Authors:
Guangyao Li
,
Richard Zhipeng Wang
,
Natalia G. Berloff

Abstract

We present a practical approach to solving distance-based optimization problems using optical computing hardware. The objective is to minimize an energy function defined as the weighted sum of squared differences between measured distances and the squared Euclidean distances of point coordinates. By...

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