Research Conducted at National Institute of Scientific Research Has Updated Our Knowledge about Machine Learning (Quantum Machine Learning for Performance Optim ization of Ris-assisted Communications: Framework Design and Application To Ener gy ...)
Research Conducted at National Institute of Scientific Research Has Updated Our Knowledge about Machine Learning (Quantum Machine Learning for Performance Optim ization of Ris-assisted Communications: Framework Design and Application To Ener gy ...)
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道NewsRx e Ditors在加拿大蒙特利尔发表的一篇研究报告称：“这项研究建议利用量子机器学习(QML)优化可重构智能表面能量效率(RIS)支持速率分割多址(RSMA)的通信下一代无线通信与以前的通信相比，预计通信将产生更高的能源效率世代相传。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Montreal, Canada, by NewsRx e ditors, research stated, “This study proposes the utilization ofquantum machine learning (QML) to maximize the energy efficiency of reconfigurable intelligent surface(RIS) assisted communication with rate-splitting multiple access (RSMA). The next-generation wirelesscommunications are expected to yield significantly higher energy efficiency compared to that of the previousgenerations.”
Key words
Montreal/Canada/North and Central Amer ica/Cyborgs/Emerging Technologies/Machine Learning/National Institute of Sci entific Research
NETL
NSTL