当量子计算遇到数据科学:使数据科学量子化

Yazhen Wang
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引用次数: 10

摘要

量子计算和量子信息在从物理学到化学和工程,以及从计算机科学到数学和统计学的多个科学领域引起了相当大的关注。数据科学结合了统计方法、计算算法和领域科学信息,从大数据中提取知识和见解,并解决复杂的现实世界问题。虽然众所周知,量子计算有可能彻底改变数据科学,但人们对数据科学推进量子计算的潜力却知之甚少。然而,由于量子物理学的随机性使量子计算具有随机性,数据科学可以在量子计算和量子信息的发展中发挥重要作用。本文概述了量子计算,并促进了量子科学和数据科学之间的相互作用。总体而言,它主张发展量子数据科学,以推进量子计算和量子信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Quantum Computation Meets Data Science: Making Data Science Quantum
Quantum computation and quantum information have attracted considerable attention on multiple frontiers of scientific fields ranging from physics to chemistry and engineering, as well as from computer science to mathematics and statistics. Data science combines statistical methods, computational algorithms, and domain science information to extract knowledge and insights from big data, and to solve complex real world problems. While it is well-known that quantum computation has the potential to revolutionize data science, much less has been said about the potential of data science to advance quantum computation. Yet because the stochasticity of quantum physics renders quantum computation random, data science can play an important role in the development of quantum computation and quantum information. This article gives an overview of quantum computation and promotes interplay between quantum science and data science. Overall, it advocates for the development of quantum data science for advancing quantum computation and quantum information.
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