Synergy of machine learning with quantum computing and communication
Latesh Kumar K. J. Sundaraja Sitharama Iyengar Debasmita Bhoumik Susmita Sur-Kolay
作者信息
Abstract
Machine learning in quantum computing and communication provides intensive
opportunities for revolutionizing the field of Physics, Mathematics, and
Computer Science. There exists an aperture of understanding behind this
interdisciplinary domain and a lack of core understanding renders an
opportunity to explore the machine learning techniques for this domain. This
paper gives a comprehensive review of state-of-the-art approaches in quantum
computing and quantum communication in the context of Artificial Intelligence
and machine learning models. The paper reviews the classical ML models that
have been employed in various ways for quantum computation such as quantum
error correction, quantum communication, quantum cryptography, and mapping
quantum algorithms to the existing hardware. The paper also illustrates how the
relevant current challenges can be transformed into future research avenues.引用本文复制引用
Latesh Kumar K. J.,Sundaraja Sitharama Iyengar,Debasmita Bhoumik,Susmita Sur-Kolay.Synergy of machine learning with quantum computing and communication[EB/OL].(2023-10-05)[2026-03-14].https://arxiv.org/abs/2310.03434.学科分类
物理学/计算技术、计算机技术/通信
|国家预印本平台
评论