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Eric Krasilnikov
Eric Krasilnikov

Imperfect C Practical Solutions For Real-life [PORTABLE]


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Imperfect C practical solutions for real-life



Experience teaches us how theory might or might not work in an imperfect world. More importantly, experience prepares us to seek other inputs and different kinds of solutions when the imperfections of the real world bite us. Only in the school of hard knocks does real world experience instill about how to deal with the difference between theory and practice. When experience is theoretical and not practical, mistakes are unavoidable and on-the-job fixes are all that is left.


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Given that the security loopholes associated with the measurement device can be closed by MDI-QKD, an important remaining question is how to justify the assumption of trustable quantum state preparation, including single-mode operation, perfect global phase randomisation, no side channels, etc. On one hand, the imperfections in quantum state preparation need to be carefully quantified and taken into account in the security proof; on the other hand, practical countermeasures are required to prevent Trojan horse attacks119 on the source.


All the above advances strongly suggest the feasibility of long-distance secure quantum communication with imperfect sources. A promising research direction is to apply the above techniques for QKD with imperfect sources to MDI-QKD leading to practical side-channel-free QKD. To achieve this goal, it is necessary to establish a comprehensive list of assumptions on the sources, and verify them one by one. In a recent experimental demonstration,140 the loss-tolerant protocol is applied to a MDI-QKD setting. Such an experiment thus addresses source and detector flaws at the same time.


manufacturer are not perfect, thereby producing and passing some defects to customers. Most of the existing imperfect quality inventory models, however, have not dealt with such important practical situations involving both imperfect production and imperfect screening process. The falsely screening out a proportion of defects, thereby passing them on to customers and consequently resulting in customers defect sales returns due to quality dissatisfaction. Therefore, this paper present a imperfectquality inventory model and defect sales return that determines an optimal production lot size. Some numerical examples were carried out to illustrate the models. Result validation is a necessary step in this research. For validation, the model was coded in Microsoft Visual Basic 6.0. The proposed model can assist the manufacturer and retailer in accurately determining the optimal quantity, cycle time and inventory total cost. Moreover, the proposed inventory model can be used in inventory control of certain items such as food items, fashionable commodities, stationary stores and others.


At the federal level, we advocate for sensible food date labeling and greater support for food donations. We also offer practical solutions to address the vast amount of food wasted in the restaurant, retail, and institutional food service sectors.


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