Electro-optic Analog-to-Digital Converter Using Spectral Interferometry

Linbo Shao, Joseph G. Thomas, Bernadeta R. Srijanto, Kevin C. Lester, Ivan I. Kravchenko, Yizheng Zhu

Research output: Contribution to conferencePaperpeer-review

Abstract

We demonstrate an optical analog-to-digital converter (ADC) leveraging spectral interferometry of an integrated electro-optic Mach-Zehnder interferometer on thin-film lithium niobate. The ADC features a high dynamic range of 118 dB/Hz with a 3-Vpp input range.

Original languageEnglish
StatePublished - 2024
EventCLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics - Charlotte, United States
Duration: May 5 2024May 10 2024

Conference

ConferenceCLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics
Country/TerritoryUnited States
CityCharlotte
Period05/5/2405/10/24

Funding

This work is supported by the Defense Advanced Research Projects Agency (DARPA) OPTIM program under contract HR00112320031, 4-VA, a collaborative partnership for advancing the Commonwealth of Virginia, 2023 Ralph E. Powe Junior Faculty Enhancement Awards by Oak Ridge Associated Universities (ORAU). Device fabrication was conducted as part of a user project (CNMS2022-B-01473) at the Center for Nanophase Materials Sciences (CNMS), which is a US Department of Energy, Office of Science User Facility at Oak Ridge National Laboratory. The views and conclusions contained in this document are those of the authors and do not necessarily reflect the position or the policy of the Government. No official endorsement should be inferred. Approved for public release; distribution is unlimited.

FundersFunder number
Oak Ridge National Laboratory
Center for Nanophase Materials Sciences
U.S. Department of Energy
Office of Science
Commonwealth of Virginia
Defense Advanced Research Projects AgencyHR00112320031, 4-VA
Oak Ridge Associated UniversitiesCNMS2022-B-01473

    Fingerprint

    Dive into the research topics of 'Electro-optic Analog-to-Digital Converter Using Spectral Interferometry'. Together they form a unique fingerprint.

    Cite this