亚原子尺度上的量子计算及其对摩尔定律未来的影响

N. Lori, J. Neves, A. Blin, Victor Alves
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引用次数: 4

摘要

量子计算机的当代发展为计算改进开辟了新的可能性,但摩尔定律有效性的局限性开始显现出来。我们在这里分析了在不久的将来,小型化将继续成为摩尔定律有效性的来源的可能性,我们的结论是,小型化不再是计算机科学未来发展的可靠答案,相反,我们建议横向化是正确的方法。通过横向化,我们的意思是使用生物学作为实现无处不在的计算机化系统的正确格式,这种格式可能在许多情况下避免小型化,因为小型化是一种过于昂贵的无用优势,而在其他情况下,小型化可能发挥关键作用。因此,计算机科学的未来不是走向从原子尺度(目前的应用尺度)到核尺度的小型化,而是在微米到纳米尺度上开发更多的集成电路,以便更好地模拟和与生物系统互动。我们分析了一些“近乎科幻”的方法来开发接近贝肯斯坦极限的更好的计算机系统,不出所料,它们没有任何现实的可行性。然后,我们使用Hammerstein-Clifford定理的经典版本与量子版本之间的差异来解释为什么生物系统避开量子计算来表示世界,而是选择经典计算。最后,我们分析了最近工作的例子,这些例子表明了计算机和生物系统之间集成的未来可能性。作为生物系统选择的必然结果,我们建议计算机科学中预测的侧向驱动的进化将不是基于量子计算机,而是基于经典计算机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some considerations on quantum computing at sub-atomic scales and its impact in the future of Moore's law
The contemporary development of Quantum Computers has opened new possibilities for computation improvements, but the limits of Moore’s law validity are starting to show. We analyze here the possibility that miniaturization will continue to be the source of Moore’s law validity in the near future, and our conclusion is that miniaturization is no longer a reliable answer for the future development of computer science, but instead we suggest that lateralization is the correct approach. By lateralization, we mean the use of biology as the correct format for the implementation of ubiquitous computerized systems, a format that might in many circumstances eschew miniaturization as an overly expensive useless advantage whereas in other cases miniaturization might play a key role. Thus, the future of computer science is not towards a miniaturization that goes from the atom-scale (its present application scale) towards the nucleus-scale, but rather in developing more integrated circuits at the micrometer to nanometer scale, so as to better mimic and interact with biological systems. We analyze some ”almost sci-fi” approaches to the development of better computer systems near the Bekenstein bound limit, and unsurprisingly they fail to have any realistic feasibility. Then, we use the difference between the classical vs. quantum version of the Hammerstein-Clifford theorem to explain why biological systems eschewed quantum computation to represent the world but have chosen classical computation instead. Finally, we analyze examples of recent work which indicate future possibilities of integration between computers and biological systems. As a corollary of that choice by the biological systems, we propose that the predicted lateralization-driven evolution in computer science will not be based in quantum computers, but rather in classical computers.
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