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On June 22, the microblogging of the University of Science and Technology of China revealed that in recent days, the team and cooperators of China University of Science and Technology Pan Jianwei have used linear optical systems to realize the quantum fingerprint recognition in 20 kilometers of optical fiber lines, which has exceeded the classical limit and for the first time in channel capacity. Realize the transcendence of classical communication. The results were recently published in the "Physical Review Letters", an authoritative academic journal of international physics.
The theory of quantum fingerprint recognition was proposed in 2001, but it is limited by various technical conditions. International experiments have failed to break the classical limit. Pan Jianwei team built a 20 km long dual Sagnac interferometer with active phase compensation combined with a super low noise superconducting nanowire single photon detector developed by the Superconducting Laboratory of the Shanghai Institute of Microsystems, Chinese Academy of Sciences. Eventually, the amount of transmitted information is better than the classical limit. 84% low fingerprint recognition.
Pan Jianwei team built a 20 km long dual Sagnac interferometer with active phase compensation combined with a super low noise superconducting nanowire single photon detector developed by the Superconducting Laboratory of the Shanghai Institute of Microsystems, Chinese Academy of Sciences. Eventually, the amount of transmitted information is better than the classical limit. 84% low fingerprint recognition. The laboratory is not only the world's first breakthrough in the classical limit of the quantum fingerprint recognition, but also for the first time in the experiment observed the quantum channel capacity compared to the superiority of the classical channel.
China re-explosive black technology quantum fingerprinting
Biometrics, which can be said to play an important role in the field of identity recognition, has become the safest and most “honest†technology product due to its unique features such as security, insurance, and portability. All along, the search for more effective biometrics has been the focus of scientific research. 3D facial recognition, vein recognition, etc. have been constantly sizzling in recent years, and fingerprint recognition is the earliest known method of biometric identification, because the proliferation of fingerprint inversion products and other products caused its safety is constantly questioned. So, whether fingerprint recognition will withdraw from the historical stage?