Quantum Intelligence

Sumit Gautam, PhD
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引用次数: 0

Abstract

Artificial intelligence has become promising and fast evolving technology now days. Machine learning and deep learning solutions have become prevalent and become feasible for solving complex problems with higher precision in lesser time which was not possible earlier. Computational power of classic computational machine is approaching to its maturity. Newer artificial neural network based solutions require higher computational power to train the system in shorter time. Quantum mechanics and information theory based quantum information systems & quantum computer have become promising choice. These quantum computers are feasible to solve specific problems which were not possible with classic computers. Artificial intelligence and quantum computing are becoming complimentary to each other and helping each other in evolution. Many of quantum computing problems such as de-coherence can be solved by artificial neural network assisted error correction code. Similarly quantum neural network, quantum algorithms are helping artificial intelligence for solving specific problems. This paper is focusing on concepts of artificial intelligence, quantum computing and current problems in quantum computing.
量子智能
如今,人工智能已经成为一项前景广阔、发展迅速的技术。机器学习和深度学习解决方案已经变得普遍,并且在更短的时间内以更高的精度解决复杂问题变得可行,这在以前是不可能的。经典计算机的计算能力正趋于成熟。新的基于人工神经网络的解决方案需要更高的计算能力来在更短的时间内训练系统。基于量子力学和信息论的量子信息系统量子计算机已经成为一个很有前途的选择。这些量子计算机可以解决经典计算机无法解决的特定问题。人工智能和量子计算在进化中相互补充、相互帮助。人工神经网络辅助纠错码可以解决许多量子计算问题,如脱相干问题。与量子神经网络类似,量子算法正在帮助人工智能解决特定问题。本文重点介绍了人工智能、量子计算的概念以及量子计算中存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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