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机器学习在量子物理学中的应用与科学哲学意义

王伟长

北京工业大学学报(社会科学版)2025,Vol.25Issue(4):25-38,14.
北京工业大学学报(社会科学版)2025,Vol.25Issue(4):25-38,14.DOI:10.12120/bjutskxb202504025

机器学习在量子物理学中的应用与科学哲学意义

Applications of Machine Learning in Quantum Physics and Their Significance in Philosophy of Science

王伟长1

作者信息

  • 1. 中国社会科学院大学 哲学院,北京 102488||中国社会科学院 哲学研究所,北京 100732
  • 折叠

摘要

Abstract

With the rapid development of artificial intelligence technology,machine learning has become an important tool in the field of quantum physics.Its diverse applications in quantum technology include data analysis of measurements,estimation of experimental parameters,hardware-level quantum control strategies,automatic design of quantum experiments and quantum protocols,and quantum error correction.In theoretical quantum physics,machine learning also has significant applications.It helps not only solve difficult problems in the field of quantum entanglement,but also provide some insights into the basic research of quantum mechanics.The application of machine learning not only improves experimental efficiency and accuracy,but also promotes new scientific discoveries and even challenges traditional views in philosophy of science.It holds significant philosophical importance in scientific discovery and understanding due to its change of the future scientific research and traditional ideas about science as well.

关键词

机器学习/量子物理学/科学发现/科学理解/人工智能

Key words

machine learning/quantum physics/scientific discovery/scientific understanding/artificial intelligence

分类

哲学

引用本文复制引用

王伟长..机器学习在量子物理学中的应用与科学哲学意义[J].北京工业大学学报(社会科学版),2025,25(4):25-38,14.

基金项目

中国社会科学院学科建设"登峰战略"资助项目(DF2023XXJC02) (DF2023XXJC02)

中国社会科学院哲学研究所创新工程项目(2025ZXSCX01) (2025ZXSCX01)

国家社会科学基金重大项目(22&ZD046) (22&ZD046)

北京工业大学学报(社会科学版)

OA北大核心

1671-0398

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