The experience of the COVID-19 pandemic, which has accelerated many chaotic processes in modern society, has highlighted in a very serious and urgent way the need to understand complex processes in order to achieve the common well-being. Modern High performance computing technologies, Quantum Computing, Computational Intelligence are shown to be extremely efficient and useful in safeguarding the fate of mankind. These technologies are the state of the art of IT evolution and are fundamental to be competitive and efficient today. If a company is familiar with these techniques and technologies, will be able to deal with any unexpected and complicated scenario more efficiently and effectively. The main contribution of our work is a set of best practices and case studies that can help the researcher address computationally complex problems. We offer a range of software technologies, from high performance computing to machine learning and quantum computing, which represent today the state of the art to deal with extremely complex computational issues, driven by chaotic events and not easily predictable. In this chapter we analyse the different technologies and applications that will lead mankind to overcome this difficult moment, as well as to understand more and more deeply the profound aspects of very complex phenomena. In this environment of rising complexity, both in terms of technology, algorithms, and changing lifestyles, it is critical to emphasize the importance of achieving maximum efficiency and outcomes while protecting the integrity of everyone's personal data and respecting the human being as a whole.
翻译:现代高性能计算机、量子计算、计算智能等现代高性能计算机技术在保障人类命运方面证明极为高效和有用。这些技术是信息技术演变的先进水平,是当今具有竞争力和效率的基础。如果公司熟悉这些技术和工艺,能够更高效和有效地应对任何出乎意料和复杂的情景,我们工作的主要贡献是一套最佳做法和案例研究,能够帮助研究者解决计算复杂的问题。我们提供一系列软件技术,从高性能计算机到机器学习和量子计算,这些技术在今天代表着处理极其复杂的计算问题的艺术状态,受到混乱事件的影响,并且不容易预测。在本章中,我们分析将引导人类克服这一困难时刻的不同技术和应用,并越来越深入地了解非常复杂的现象的深刻方面。在这个日益复杂的环境中,我们提供了从高性计算机到机器学习和量子计算等各种软件技术学习和量子计算等各种软件技术,这既代表着当今处理极其复杂的计算问题,又受混乱事件驱动,而且不容易预测。我们分析将引导人类克服这一困难时刻的不同技术和应用,以及越来越深刻地了解这一复杂现象的方面。我们所关注的是,在追求的每个复杂、最关键性、最重要地注重个人工作效率的环境里,同时也是,在保持整个过程的完整中,要重视整个过程。