@article{hanzo_quantum_2025,

title = {Quantum Information Processing, Sensing, and Communications: Their Myths, Realities, and Futures},

author = {Lajos Hanzo and Zunaira Babar and Zhenyu Cai and Daryus Chandra and Ivan B. Djordjevic and Balint Koczor and Soon Xin Ng and Mohsen Razavi and Osvaldo Simeone},

url = {https://ieeexplore.ieee.org/document/10828532},

doi = {10.1109/JPROC.2024.3510394},

issn = {1558-2256},

year  = {2025},

date = {2025-01-01},

urldate = {2025-10-08},

journal = {Proceedings of the IEEE},

pages = {1–51},

abstract = {The recent advances in quantum information processing, sensing, and communications are surveyed with the objective of identifying the associated knowledge gaps and formulating a roadmap for their future evolution. Since the operation of quantum systems is prone to the deleterious effects of decoherence, which manifests itself in terms of bit-flips, phase-flips, or both, the pivotal subject of quantum error mitigation is reviewed both in the presence and absence of quantum coding. The state of the art, knowledge gaps, and future evolution of quantum machine learning (QML) are also discussed, followed by a discourse on quantum radar systems and briefly hypothesizing about the feasibility of integrated sensing and communications (ISAC) in the quantum domain (QD). Finally, we conclude with a set of promising future research ideas in the field of ultimately secure quantum communications with the objective of harnessing ideas from the classical communications field.},

keywords = {Codes, Encoding, Error correction codes, Europe, Information processing, Next generation networking, Prevention and mitigation, Quantum communications, Quantum computing, quantum error correction coding, quantum error mitigation, quantum key distribution (QKD), Quantum Machine Learning, quantum sensing, quantum-secured direct communications (QSDC), Qubit, Wireless communication},

pubstate = {published},

tppubtype = {article}

}

@article{huang_sidelobe_2024,

title = {Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR},

author = {Yi Huang and Xiaofeng Chen and Wei Shen and Ziyi Wei and Chengyong Hu and Chuanlu Deng and Lisen Wang and Qi Zhang and Wei Chen and Xiaobei Zhang and Lin Chen and Wei Jin and Jianming Tang and Tingyun Wang},

url = {https://ieeexplore.ieee.org/document/10685474},

doi = {10.1109/LPT.2024.3465501},

issn = {1941-0174},

year  = {2024},

date = {2024-11-01},

urldate = {2025-10-08},

journal = {IEEE Photonics Technology Letters},

volume = {36},

number = {22},

pages = {1321–1324},

abstract = {Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved CLEAN algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional CLEAN algorithm.},

keywords = {CLEAN algorithm, Encoding, Filtering, Optical fibers, Optical filters, Perturbation methods, phase coding, Pulse compression optical time domain reflectometry (PC-OTDR), sidelobe suppression, Signal to noise ratio, Spatial resolution},

pubstate = {published},

tppubtype = {article}

}