Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184695
Title: Realizing ultrahigh capacity quantum superdense coding on quantum photonic chip
Authors: Li, Yuan
Zhu, Huihui
Luo, Wei
Cai, Hong
Karim, Muhammad Faeyz
Luo, Xianshu
Gao, Feng
Wu, Xiang
Zhou, Xiaoqi
Song, Qinghua
Kwek, Leong Chuan
Liu, Ai Qun
Keywords: Engineering
Issue Date: 2025
Source: Li, Y., Zhu, H., Luo, W., Cai, H., Karim, M. F., Luo, X., Gao, F., Wu, X., Zhou, X., Song, Q., Kwek, L. C. & Liu, A. Q. (2025). Realizing ultrahigh capacity quantum superdense coding on quantum photonic chip. Npj Quantum Information, 11(1), 1-6. https://dx.doi.org/10.1038/s41534-025-01007-y
Project: NRF2022-QEP2-02-P16 
FCP-NTU-RG-2022-013
Journal: npj Quantum Information
Abstract: Quantum superdense coding provides a compelling solution to enhance the channel capacity compared with classical coding, which plays a vital role in quantum networks. However, the realization of a degenerate high-dimensional entangled state with high fidelity has remained an elusive challenge, limiting improvement in channel capacity. Here, we have demonstrated a 16-mode quantum process photonic chip and experimentally validated a degenerate eight-dimensional quDit entangled state with a fidelity of 0.973±0.002. Moreover, we propose an efficient Bell state measurement method to distinguish eleven orthogonal Bell states in eight-dimensional quantum superdense coding. Leveraging the high-quality features of our quantum photonic chip, we have achieved an unprecedented channel capacity of 3.021±0.003 bits, highlighting the largest channel capacity to date. Furthermore, our method presents a remarkable quantum advantage over classical schemes, the latter of which can only transmit a maximum of 3 bits in the environment without any noise. Our findings not only open up a new avenue for integrated quantum information processing, but also contribute significantly to the advancement of multidimensional technologies, facilitating the establishment of practical, high-capacity quantum networks.
URI: https://hdl.handle.net/10356/184695
ISSN: 2056-6387
DOI: 10.1038/s41534-025-01007-y
Schools: School of Electrical and Electronic Engineering 
Research Centres: Quantum Science and Engineering Centre
Rights: © 2025 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/bync-nd/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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