Purification in entanglement distribution with deep quantum neural network

Entanglement distribution is important in quantum communication. Since there is no information with value in this process, purification is a good choice to solve channel noise. In this paper, we simulate the purification circuit under true environment on Cirq, which is a noisy intermediate-scale quantum (NISQ) platform. Besides, we apply quantum neural network (QNN) to the state after purification. We find that combining purification and quantum neural network has good robustness towards quantum noise. After general purification, quantum neural network can improve fidelity significantly without consuming extra states. It also helps to obtain the advantage of entangled states with higher dimension under amplitude damping noise. Thus, the combination can bring further benefits to purification in entanglement distribution.     

SOFC—联合循环系统性能分析

固体氧化物燃料电池直接将燃料的化学能转化为电能,不受卡诺循环的限制,大幅提高燃料利用率,而且也可减少污染物的排放。它与燃气轮机和蒸汽轮机组成的联合循环系统可以实现对SOFC的尾气余热的梯级利用,提高系统效率。本文以SOFC-GT-Kalina系统为研究对象,利用Aspen Plus建立流程模拟,从理论上分析了各主要参数(运行压力、电流密度、温度等)变化时对系统性能的影响规律,从而为系统优化和和经济运行提供指导。     

OFDM系统降低峰平比技术的研究

OFDM技术具有较高的频谱利用率和良好的抗多径干扰能力,但是其峰值平均功率比(PARP)较高.现在虽然在抑制性能上有了很大的提高,但仍存在各种各样的缺陷,尤其是计算量和系统复杂度方面.文中研究了利用选择性映射(SLM)技术降低OFDM系统峰平比,并提出利用完全互补码来降低SLM的运算复杂度.     

纪录片《老广的味道》对集体记忆的建构

美食纪录片《老广的味道》根植于岭南文化，从普通人的视角出发，以地标符号为切入点，通过节日仪式来呈现美食背后的温情故事，引发观众的情感共鸣，唤醒受众的集体记忆，彰显了故事背后传递的人文情怀，增进了观众的身份认同和文化认同，传承和发扬了优秀的岭南美食文化。