چکیده مقاله
The development of quantum machine learning QML has received a lot of interest recently thanks to developments in both quantum computing QC and machine learning ML Researches indicates that quantum computing can significantly accelerate processing speeds and enhance data transfer capabilities, especially for smart city applications However, due to the instability in quantum processing and the potential for computational errors, a hybrid approach of quantum and classical computing is currently required This research focuses on addressing the challenges of integrating quantum technologies into sustainable urban environments For this purpose, we propose utilizing Green AI and AIOT Artificial Intelligence of Things alongside quantum data transmission to optimize resource management and energy efficiency Currently, a hybrid of quantum and classical computing is essential to ensure reliable operation, laying the groundwork for future smart cities This paper presents a novel vision for urban scale quantum computing, leveraging current or near term technologies to address these challenges effectively
کلیدواژهها
نویسندگان
Arvin Boroujerdi
Master students of Islamic azad University central tehran branch
Atieh Khanjani
Assistant professor of Islamic azad University of center branch
شیوه ارجاع
Boroujerdi، Arvin و Khanjani، Atieh،1403،Quantum Cities: Trends and challenges،بیست و پنجمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات،بابل
ارائهشده در
مجموعه مقالات بیست و پنجمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات27 دی 1403 · بابل