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Project Description
Project Description
Quantum information processing brings fundamental new paradigms for sensing, computing and communication. It will enable foundational innovations in many fields from physics to chemistry, to energy and finance, to secure digital infrastructure, and more. However, the ability to communicate quantum information effectively and efficiently across distance is a crucial pre-requisite for reaping the benefits of many quantum applications, including large-scale quantum computing, distributed quantum sensing and quantum-enhanced (secure) communications. Building on top of recent advances in developing a quantum network along two separate lines, this project will develop a new hybrid architecture that will reap the benefits of both continuous-variable and discrete-variable quantum networking, and design algorithms and protocols to enable high-rate and high-fidelity distribution of quantum entanglement resources across long distances and for various future quantum applications. The research will result in concepts and tools to empower the future quantum infrastructure and ecosystem.
Project Personnel and Major Participants
Project Personnel and Major Participants
Graduate Students at NCSU
Graduate Students at NCSU
Huayue Gu
Graduate Students at USC
Graduate Students at USC
Runzhe Mo
Publications and Preprints
Publications and Preprints
Students receiving funding support from this project are marked with asterisk. PI is underscored in the publications.
Mixed-State Quantum Denoising Diffusion Probabilistic Model [arXiv]
Gino Kwun, Bingzhi Zhang, Quntao Zhuang,
arXiv:2411.17608 (2024).Holographic deep thermalization: theory and experimentation [arXiv]
Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang,
arXiv:2411.03587 (2024).Dynamical transition in controllable quantum neural networks with large depth [arXiv]
Bingzhi Zhang, Junyu Liu, Xiao-Chuan Wu, Liang Jiang, Quntao Zhuang,
Nat. Commun. 15, 9354 (2024).Mi-Co: Models and Algorithms for Cost-efficient Entanglement Distribution in the Quantum Internet [PDF]
Huayue Gu*, Zhouyu Li, Xiaojian Wang, Dejun Yang, Guoliang Xue, Ruozhou Yu,
In IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), pp. 1-8, 2025.
(Gu and Li contributed equally to this paper)QuESat: Satellite-Assisted Quantum Internet for Global-Scale Entanglement Distribution [arXiv]
Huayue Gu*, Ruozhou Yu, Zhouyu Li, Xiaojian Wang, Guoliang Xue,
In IEEE International Conference on Computer Communications (INFOCOM), pp. 1-10, 2025.FENDI: Toward High-Fidelity Entanglement Distribution in the Quantum Internet [arXiv]
Huayue Gu*, Zhouyu Li, Ruozhou Yu, Xiaojian Wang, Fangtong Zhou, Jianqing Liu, Guoliang Xue,
IEEE/ACM Transactions on Networking (ToN), vol. 32, no. 6, pp. 5033–5048, 2024. (Gu and Li contributed equally to this paper)
Datasets and Artifacts
Datasets and Artifacts
Educational Activities, Outreach and Broader Impacts
Educational Activities, Outreach and Broader Impacts
The paper on quantum satellite network architecture has been presented at INFOCOM 2025 conference by a co-author.
The paper on minimizing entanglement distribution cost in the quantum internet has been presented at IEEE QCNC 2025 conference by a co-author.
PI Yu and PhD student Huayue Gu attended the Quantum Information Processing (QIP) 2025 conference, locally hosted in Raleigh, NC.
PhD student Huayue Gu also served as a student volunter at QIP 2025.In Spring 2025, PI Yu taught a graduate-level special topics course, CSC 591/791 "Quantum Communications and Network", featuring both PhD and Master's students across Computer Science and Electrical and Computer Engineering. One graduate student started working on a Master's thesis on the topic of entanglement-aware distributed quantum computing under the supervision of PI Yu.
PI Zhuang developed and taught the class “EE515: Quantum Sensing: Machine Learning, Inference, and Information” in Fall 2024, with 12 students attending.
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