Conductive ITO Metasurfaces for Scalable Trapped-Ion Quantum Computing

On-chip photonics are crucial for scaling trapped-ion quantum computers. To this end, we demonstrate conductive, transparent ITO metasurfaces working at visible wavelengths. These conductive metasurfaces can be fabricated on the surface of an ion trap for scalable beam delivery to trapped ion quantum computers.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.aa103_2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conductive ITO Metasurfaces for Scalable Trapped-Ion Quantum Computing

Rezlind Bushati, Wenqi Zhu, Amit Agrawal, Henri J. Lezec et al.
Advanced Memory and Neural Computing
article

Conductive ITO Metasurfaces for Scalable Trapped-Ion Quantum Computing

Rezlind Bushati, Wenqi Zhu, Amit Agrawal, Henri J. Lezec, Adam Ollanik, Matthew J. Bohn
article en

Abstract

On-chip photonics are crucial for scaling trapped-ion quantum computers. To this end, we demonstrate conductive, transparent ITO metasurfaces working at visible wavelengths. These conductive metasurfaces can be fabricated on the surface of an ion trap for scalable beam delivery to trapped ion quantum computers.

Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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.

Conductive ITO Metasurfaces for Scalable Trapped-Ion Quantum Computing — Rezlind Bushati, Wenqi Zhu, et al. · (2025) | TGRS Research Map | TGRS