量子计算机在机器学习中的应用综述

J. R, Sunethra B
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引用次数: 0

摘要

产品开发、工艺优化和化学发现也是见证量子计算重大创新的实际制造领域。量子模拟还可以取代实验室实验,从而降低研究成本,甚至最大限度地减少对动物和人体测试的要求。除此之外,量子计算机可以在金融领域带来巨大的潜在优势,从更深入的分析到最新、更快的交易可能性。在目前的情况下,现有的计算机难以计算大数据,无法解决一些复杂的问题。因此,这些问题更有望在量子计算机的帮助和能力下在几秒钟内得到解决。除此之外,还预测特定ML中的人工智能应用也可以从量子计算的先进技术中受益。关键词:机器学习,人工智能,量子计算,网络安全。
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Review on Quantum Computers in Machine Learning
The product development, process optimization and chemical discovery are also among the actual manufacturing areas for witnessing the major innovations for quantum computing. The quantum simulations can also be capable of replacing the laboratory experiments that reduces the research cost and also even minimize the requirement of animal and human testing. Apart from that, quantum computers can bring the huge potential advantages within the financial sectors that are from deeper analytics to the latest and faster trading possibilities. In the current scenario, the existing computers struggle in calculating big data and are unable to solve several complex problems. Therefore, these problems are much more expected to be resolved within a few seconds by the help and power of the quantum computers. Apart from that, it is also predicted that the AI applications within the particular ML can also benefit from the advanced technology of quantum computing. Keyword :Machine learning, Artificial Intelligence, Quantum computing, Cyber security.
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