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中国电信股份有限公司研究院,北京 102209
[ "郝苑辰(1996- ),女,中国电信股份有限公司研究院工程师,主要研究方向为网络协议、网络安全技术、量子计算。haoyc@chinatelecom.cn" ]
[ "解宇恒(1993- ),男,博士,中国电信股份有限公司研究院工程师,主要研究方向为光纤传输系统、特种光纤、量子计算。" ]
[ "唐建军(1977- ),男,博士,中国电信股份有限公司研究院高级工程师,主要研究方向为光通信与量子信息技术。" ]
收稿日期:2024-09-02,
修回日期:2024-11-09,
纸质出版日期:2024-11-20
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郝苑辰,解宇恒,唐建军.量子计算云平台的技术演进与发展趋势[J].电信科学,2024,40(11):114-124.
HAO Yuanchen,XIE Yuheng,TANG Jianjun.Technical evolution and development trend of quantum computing cloud platform[J].Telecommunications Science,2024,40(11):114-124.
郝苑辰,解宇恒,唐建军.量子计算云平台的技术演进与发展趋势[J].电信科学,2024,40(11):114-124. DOI: 10.11959/j.issn.1000-0801.2024240.
HAO Yuanchen,XIE Yuheng,TANG Jianjun.Technical evolution and development trend of quantum computing cloud platform[J].Telecommunications Science,2024,40(11):114-124. DOI: 10.11959/j.issn.1000-0801.2024240.
当前,量子计算云平台以便捷、按需访问的方式,有效依托经典网络提供量子计算服务,成为量子计算能力输出的有效途径之一。探讨了量子计算云平台的架构、服务模式及全球发展动态,分析指出平台当前面临用户实时体验不足、噪声与误差制约算法性能、量子编程标准化不足以及平台间资源共享与协作存在局限等主要挑战。因此,明确了持续优化量子计算云平台的发展方向,提出优化用户体验、加速噪声中等规模量子(noisy intermediate-scale quantum,NISQ)算法研发及提升编程框架兼容性和推动平台合作交流等建议,为平台的深入发展提供重要支撑,释放量子计算云平台的潜在优势,以促进其在各行业的广泛应用与持续创新。
Currently
quantum computing cloud platforms provide a convenient
on-demand mechanism for accessing quantum computing services
effectively utilizing classical networks to deliver these capabilities. A thorough analysis of the architecture
service models
and global development trends of quantum computing cloud platforms were conducted
identifying several critical challenges: insufficient real-time user experience
the adverse effects of noise and errors on algorithm performance
a lack of standardization in quantum programming
and limitations in resource sharing and collaboration among platforms. To address these challenges
a clear trajectory for the ongoing optimization of quantum computing cloud platforms was delineated. The strategic recommendations aimed at enhancing user experience
accelerating the research and development of NISQ algorithms
improving compatibility across programming frameworks
and fostering collaborative efforts between platforms were proposed. These recommendations are designed to provide substantial support for the further evolution of quantum computing cloud platforms
unlocking their inherent advantages and facilitating their widespread application and continuous innovation across diverse sectors.
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