Fast and Low-Noise 3D Meta-Holography Based on Complex-Amplitude Constraint

Abstract Driven by the rapid development of nanomanufacturing technology, meta-holography has become a research frontier in the field of optoelectronics. However, existing meta-hologram design schemes still struggle to achieve rapid hologram generation, largely due to the high calculation cost of hologram generation. In addition, there is inevitable aliasing noise in subwavelength sampling, which affects the further development of 3D meta-holography. Here, we propose a fast 3D meta-holography method with reduced reconstruction noise based on a complex-amplitude constraint. By introducing a complex-amplitude constraint on a single reference plane during hologram design, the proposed method reduces reconstruction noise while markedly lowering the calculation cost. Furthermore, we fabricated a metasurface with near-vertical sidewalls approaching 90° and exceptional pattern integrity via the etch-pump cycling method, enabling robust experimental validation. Compared with conventional GS-based optimization schemes, the proposed method improves reconstruction quality and calculation efficiency simultaneously. At 50 iterations, the peak signal-to-noise ratio is improved by approximately 49% relative to the conventional amplitude-constrained GS algorithm, while the calculation time is reduced by up to 97% compared with conventional multiplane GS algorithms. This fast and low-noise 3D meta-holography is promising for compact 3D display, wearable photonics, and related holographic imaging applications.

Authors

Institutions

Publication Details

Journal
ACS Photonics
Published
2026-10-28
DOI
https://doi.org/10.1021/acsphotonics.6c01497
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast and Low-Noise 3D Meta-Holography Based on Complex-Amplitude Constraint

Xinru Li, Yehao Hou, Di Wang, Shaowei Wang et al.
1 links
ACS Photonics
Metamaterials and Metasurfaces Applications
article

Fast and Low-Noise 3D Meta-Holography Based on Complex-Amplitude Constraint

Xinru Li, Yehao Hou, Di Wang, Shaowei Wang, Yuchen Yang, Peiqi Yu, Yilong Li, Qian Huang, Ruiyi Zhao
article en

Abstract

Abstract Driven by the rapid development of nanomanufacturing technology, meta-holography has become a research frontier in the field of optoelectronics. However, existing meta-hologram design schemes still struggle to achieve rapid hologram generation, largely due to the high calculation cost of hologram generation. In addition, there is inevitable aliasing noise in subwavelength sampling, which affects the further development of 3D meta-holography. Here, we propose a fast 3D meta-holography method with reduced reconstruction noise based on a complex-amplitude constraint. By introducing a complex-amplitude constraint on a single reference plane during hologram design, the proposed method reduces reconstruction noise while markedly lowering the calculation cost. Furthermore, we fabricated a metasurface with near-vertical sidewalls approaching 90° and exceptional pattern integrity via the etch-pump cycling method, enabling robust experimental validation. Compared with conventional GS-based optimization schemes, the proposed method improves reconstruction quality and calculation efficiency simultaneously. At 50 iterations, the peak signal-to-noise ratio is improved by approximately 49% relative to the conventional amplitude-constrained GS algorithm, while the calculation time is reduced by up to 97% compared with conventional multiplane GS algorithms. This fast and low-noise 3D meta-holography is promising for compact 3D display, wearable photonics, and related holographic imaging applications.

ACS Photonics
Shanxi University (CN), Chinese Academy of Sciences (CN), Shanghai Institute of Technical Physics (CN), East China Normal University (CN), Beihang University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Science and Technology Commission of Shanghai Municipality, Science and Technology Department of Henan Province
Openalex Percentile: Top 34%
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon