Report title: Quantum bet365 live casino app Distribution and Artificial Intelligence
Reporting bet365 live casino app: 19:00 pm on March 12, 2019 (Tuesday)
Reporting location: Conference Room 404, Electronic bet365 live casino app, Railway College
Reporters: Xie Cairang, bet365 live casino app, Zhu Rong
Report title: Machine learning and continuous variable quantum bet365 live casino app distribution.(Xie Cairang)
Report summary: Quantum bet365 live casino app distribution is an important branch of modern cryptography，And with the development of quantum computers，Traditional encryption methods face severe challenges，The practical application of quantum encryption is imminent。Quantum bet365 live casino app distribution can be divided into two implementation schemes: discrete variable quantum bet365 live casino app distribution and continuous variable quantum bet365 live casino app distribution，The continuous variable scheme is easy to integrate with traditional coherent optical communications、Easy to prepare、Easy to detect and other characteristics have attracted more and more attention from researchers。The theoretical unconditional security of the continuous variable quantum bet365 live casino app distribution protocol has been rigorously proven，But its actual safety is due to the device、There is still a certain gap between the impact of the environment and unconditional safety。This report will briefly introduce several classic machine learning methods，And provide several ideas on how to improve the actual security of continuous variable quantum bet365 live casino app distribution through machine learning methods。
Report title: Long-distance continuous variable subkey bet365 live casino app based on separable Gaussian states (Zhou Jian)
Report summary: Continuous variable subkey distribution is considered as a secure communication scheme to replace traditional cryptography。However，Due to the impact of channel noise and loss，The transmission distance is limited to the urban area。This article proposes a long-distance continuous variable quantum bet365 live casino app distribution scheme using separable Gaussian states。This tunable quantum bet365 live casino app distribution protocol requires separable Gaussian states，With the help of classical communication and available linear optics，Complete by performing compression and displacement operations on the compressed and shifted Gaussian states。The protocol arises from the entanglement of a pattern with an auxiliary pattern for distribution，This entanglement is first destroyed by local correlation noise，Then interference recovery via auxiliary mode and second remotely separable correlation mode。The displacement matrix consists of two six-dimensional vectors，Finally determined by the divisibility of the three-point system。Alice、Detachability of Bob and auxiliary systems reduces enemy eavesdropping，Less to tolerate higher excess noise and achieve longer transmission distance。
bet365 live casino app: Research on ghost imaging reconstruction algorithm based on compressed sensing (Zhu Rong)
Ghost Imaging is a new imaging technology that has emerged in recent years，Also known as correlation imaging or bet365 live casino app imaging。Since ghost imaging technology uses the correlation of light fields to image，To obtain a clear enough image，A large number of samples must be carried out，Resulting in too long sampling time，And the image quality is not good。Therefore，How to use fewer sampling times to obtain higher-quality reconstructed images in existing ghost imaging solutions has become a hot issue in research。Compressed sensing theory is a new signal processing technology that has attracted much attention in recent years，It can reconstruct the original target image with higher quality using far less sampling times than the Nyquist theory requires to reconstruct the image。Researchers have introduced compressed sensing theory into ghost imaging systems，Thus achieving a higher quality reconstructed image with a lower sampling number。This report briefly introduces the image reconstruction capabilities of several different compressed sensing reconstruction algorithms in ghost imaging systems。
