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The 20th century has witnessed the rise of quantum mechanics and its spurred scientific and technological revolution. The mankind is now on the verge of the second quantum evolution sparked by quantum information science (QIS). Entanglement lies at the heart of QIS, giving rise to a plethora of quantum-enabled or enhanced capabilities. In this talk, I will discuss our recent experimental advances in near-term quantum machine learning platforms for data classification , entangled sensor networks for precise radiofrequency and optomechanical sensing , and entanglement-assisted communication systems surpassing the ultimate classical communication capacity . Before closing, I will present the endeavors toward a future quantum internet by introducing University of Arizona’s Interdisciplinary Quantum Information Research and Engineering (INQUIRE) infrastructure and the NSF Engineering Research Center for Quantum Networks (CQN) testbed.
 Y. Xia, W. Li, Q. Zhuang, and Z. Zhang, Phys. Rev. X 11, 021047 (2021).
 Y. Xia et al., Phys. Rev. Lett. 124, 150502 (2020).
 S. Hao et al., Phys. Rev. Lett. 126, 250501 (2021).
Biographical sketch: Dr. Zheshen Zhang is an Assistant Professor in the Department of Materials Science and Engineering, Department of Electrical and Computer Engineering, and the James C. Wyant College of Optical Sciences at the University of Arizona (UA). Prior to joining UA in 2017, Dr. Zhang was a Postdoctoral Associate and then a Research Scientist at MIT. Dr. Zhang's research encompasses a broad swath of the experimental and theoretical aspects of quantum networks, quantum communications, quantum sensing, and quantum computing. Dr. Zhang currently directs UA's Interdisciplinary Quantum Information Research and Engineering (INQUIRE) infrastructure and is a testbed co-Lead for the NSF Engineering Research Center for Quantum Networks. Dr. Zhang serves on the Editorial Board of Communications Physics.