论文标题
机器学习到晶格量子场理论的应用
Applications of Machine Learning to Lattice Quantum Field Theory
论文作者
论文摘要
在数值晶格量子场理论领域应用机器学习的潜力很大，但是对该潜力的全面开发将需要新的策略。在雪人社区规划过程的白皮书中，我们讨论了晶格量子田间理论的机器学习的独特要求，并概述了将来启用这种方法的探索和部署所需的内容。
There is great potential to apply machine learning in the area of numerical lattice quantum field theory, but full exploitation of that potential will require new strategies. In this white paper for the Snowmass community planning process, we discuss the unique requirements of machine learning for lattice quantum field theory research and outline what is needed to enable exploration and deployment of this approach in the future.
