A 4×256 Gbps silicon transmitter with on-chip adaptive dispersion compensation

Shihuan Ran, Yu Guo, Yuanbin Liu, Ting Miao, Yangbo Wu, Yang Qin, Yuyao Guo, Liangjun Lu, Yixiao Zhu, Yu Li (), Qunbi Zhuge (), Jianping Chen and And Linjie Zhou
Additional contact information
Shihuan Ran: Shanghai Jiao Tong University
Yu Guo: Shanghai Jiao Tong University
Yuanbin Liu: Shanghai Jiao Tong University
Ting Miao: Shanghai Jiao Tong University
Yangbo Wu: Wireless BU
Yang Qin: Wireless BU
Yuyao Guo: Shanghai Jiao Tong University
Liangjun Lu: Shanghai Jiao Tong University
Yixiao Zhu: Shanghai Jiao Tong University
Yu Li: Shanghai Jiao Tong University
Qunbi Zhuge: Shanghai Jiao Tong University
Jianping Chen: Shanghai Jiao Tong University
And Linjie Zhou: Shanghai Jiao Tong University

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract The exponential growth of data traffic propelled by cloud computing and artificial intelligence necessitates advanced optical interconnect solutions. While wavelength division multiplexing (WDM) enhances optical module transmission capacity, chromatic dispersion becomes a critical limitation as single-lane rates exceed 200 Gbps. Here we demonstrate a 4-channel silicon transmitter achieving 1 Tbps aggregate data rate through integrated adaptive dispersion compensation. This transmitter utilizes Mach-Zehnder modulators with adjustable input intensity splitting ratios, enabling precise control over the chirp magnitude and sign to counteract specific dispersion. At 1271 nm (−3.99 ps/nm/km), the proposed transmitter enabled 4 × 256 Gbps transmission over 5 km fiber, achieving bit error ratio below both the soft-decision forward-error correction threshold with feed-forward equalization (FFE) alone and the hard-decision forward-error correction threshold when combining FFE with maximum-likelihood sequence detection. Our results highlight a significant leap towards scalable, energy-efficient, and high-capacity optical interconnects, underscoring its potential in future local area network WDM applications.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-61408-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61408-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-61408-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().