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Chip integrated photonics for ion based quantum computing

Title: Chip integrated photonics for ion based quantum computing
Authors: Sauer Steffen; Sorokina Anastasiia; Grimpe Carl-Frederik; Du Guochun; Gehrmann Pascal; Jordan Elena; Mehlstäubler Tanja; Kroker Stefanie
Source: EPJ Web of Conferences, Vol 266, p 13032 (2022)
Publisher Information: EDP Sciences
Publication Year: 2022
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: Physics; QC1-999
Description: Ion traps are a promising platform for the realisation of high-performance quantum computers. To enable the future scalability of these systems, integrated photonic solutions for guiding and manipulating the laser light at chip level are a major step. Such passive optical components offer the great advantage of providing beam radii in the μm range at the location of the ions without increasing the number of bulk optics. Different wavelengths, from UV to NIR, as well as laser beam properties, such as angle or polarisation, are required for different cooling and readout processes of ions. We present simulation results for different optical photonic components, such as grating outcouplers or waveguide splitters and their applications on ion trap chips. Furthermore, we will introduce the experimental setup for the optical characterisation of the fabricated structures.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.epj-conferences.org/articles/epjconf/pdf/2022/10/epjconf_eosam2022_13032.pdf; https://doaj.org/toc/2100-014X; https://doaj.org/article/cfce4b4f9cd5439e9502592d74634df6
DOI: 10.1051/epjconf/202226613032
Availability: https://doi.org/10.1051/epjconf/202226613032; https://doaj.org/article/cfce4b4f9cd5439e9502592d74634df6
Accession Number: edsbas.DDB95A21
Database: BASE