Technical evolution and development trend of quantum computing cloud platform

HAO Yuanchen; XIE Yuheng; TANG Jianjun

doi:10.11959/j.issn.1000-0801.2024240

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Technical evolution and development trend of quantum computing cloud platform

Research and Development | 更新时间：2025-03-17

- Technical evolution and development trend of quantum computing cloud platform
- Telecommunications Science Vol. 40, Issue 11, Pages: 114-124(2024)
- 作者机构：
  
  中国电信股份有限公司研究院，北京 102209
- 作者简介：
- 基金信息：
  
  Science and Technology Innovation 2030 - Quantum Communication and Quantum Computer(2021ZD0301300)
- DOI：10.11959/j.issn.1000-0801.2024240
  CLC： TP391
- Received：02 September 2024，
  
  Revised：09 November 2024，
  
  Published：20 November 2024
- 稿件说明：
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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.

摘要

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。

Abstract

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.

关键词

Keywords

references

HUANG L L , ZHOU H Y , FENG K , et al . Quantum random number cloud platform [J ] . NPJ Quantum Information , 2021 , 7 : 107 .

KUMAR V , RAYAPPAN J B B , AMIRTHARAJAN R , et al . Quantum true random number generation on IBM’s cloud platform [J ] . Journal of King Saud University-Computer and Information Sciences , 2022 , 34 ( 8 ): 6453 - 6465 .

LI Y H , FEI Y Y , WANG W L , et al . Quantum random number generator using a cloud superconducting quantum computer based on source-independent protocol [J ] . Scientific Reports , 2021 , 11 ( 1 ): 23873 .

FARHI E , GOLDSTONE J , GUTMANN S , et al . A quantum approximate optimization algorithm [J ] . arXiv preprint , arXiv: 1411.4028 , 2014 .

KOCHENBERGER G , HAO J K , GLOVER F , et al . The unconstrained binary quadratic programming problem: a survey [J ] . Journal of Combinatorial Optimization , 2014 , 28 ( 1 ): 58 - 81 .

LEWIS M , GLOVER F . Quadratic unconstrained binary optimization problem preprocessing: theory and empirical analysis [J ] . Networks , 2017 , 70 ( 2 ): 79 - 97 .

HERMAN D , GOOGIN C , LIU X Y , et al . Quantum computing for finance [J ] . Nature Reviews Physics , 2023 , 5 ( 8 ): 450 - 465 .

ORÚS R , MUGEL S , LIZASO E . Quantum computing for finance: overview and prospects [J ] . Reviews in Physics , 2019 , 4 : 100028 .

GOBATO R . Calculations using quantum chemistry for inorganic molecule simulation BeLi2SeSi [J ] . Science Journal of Analytical Chemistry , 2017 , 5 ( 5 ): 76 - 85 .

MAGANN A B , GRACE M D , RABITZ H A , et al . Digital quantum simulation of molecular dynamics and control [J ] . Physical Review Research , 2021 , 3 ( 2 ): 023165 .

FADLI S , RAWAL B S , MENTGES A . Hybrid quantum machine learning using quantum integrated cloud architecture (QICA) [C ] // Proceedings of the 2023 International Conference on Computing, Networking and Communications (ICNC) . Piscataway : IEEE Press , 2023 : 419 - 425 .

BERGANZA GÓMEZ R , O’MEARA C , CORTIANA G , et al . Towards AutoQML: a cloud-based automated circuit architecture search framework [C ] // Proceedings of the 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C) . Piscataway : IEEE Press , 2022 : 129 - 136 .

GONG C Q , DONG Z Y , GANI A , et al . Quantum k-means algorithm based on trusted server in quantum cloud computing [J ] . Quantum Information Processing , 2021 , 20 ( 4 ): 130 .

HIBAT-ALLAH M , MAURI M , CARRASQUILLA J , et al . A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models [J ] . Communications Physics , 2024 , 7 : 68 .

WEST M T , TSANG S L , LOW J S , et al . Towards quantum enhanced adversarial robustness in machine learning [J ] . Nature Machine Intelligence , 2023 , 5 : 581 - 589 .

KAIIALI M , SEZER S , KHALID A . Cloud computing in the quantum era [C ] // Proceedings of the 2019 IEEE Conference on Communications and Network Security (CNS) . Piscataway : IEEE Press , 2019 : 1 - 4 .

LEYMANN F , BARZEN J , FALKENTHAL M , et al . Quantum in the cloud: application potentials and research opportunities [J ] . arXiv preprint , arXiv: 2003.06256 , 2020 .

SOEPARNO H , PERBANGSA A S . Cloud quantum computing concept and development: a systematic literature review [J ] . Procedia Computer Science , 2021 , 179 : 944 - 954 .

KARALEKAS P J , TEZAK N A , PETERSON E C , et al . A quantum-classical cloud platform optimized for variational hybrid algorithms [J ] . Quantum Science and Technology , 2020 , 5 ( 2 ): 024003 .

ROJO J , VALENCIA D , BERROCAL J , et al . Trials and tribulations of developing hybrid quantum-classical microservices systems [J ] . arXiv preprint , arXiv: 2105.04421 , 2021 .

NGUYEN H T , USMAN M , BUYYA R . QFaaS: a serverless function-as-a-service framework for quantum computing [J ] . Future Generation Computer Systems , 2024 , 154 : 281 - 300 .

张萌 , 王敬 , 赵文玉 , 等 . 量子计算云平台的架构与发展 [J ] . 信息通信技术与政策 , 2023 ( 7 ): 27 - 35 .

ZHANG M , WANG J , ZHAO W Y , et al . Architecture and development of quantum computing cloud platform [J ] . Information and Communications Technology and Policy , 2023 ( 7 ): 27 - 35 .

BÖRNER S D , BERKE C , DIVINCENZO D P , et al . Classical chaos in quantum computers [J ] . Physical Review Research , 2024 , 6 ( 3 ): 033128 .

NGUYEN H T , KRISHNAN P , KRISHNASWAMY D , et al . Quantum cloud computing: a review, open problems, and future directions [J ] . arXiv preprint , arXiv: 2404.11420 , 2024 .

ANAGOLUMS , ALAVISAMANIN , DAS P , et al . Elivagar: efficient quantum circuit search for classification [C ] // Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems , Volume 2 . New York : ACM Press , 2024: 336 - 353 .

RUTH CADELIÑA A , ASSANTY CUEVAS M , KALLOS M , et al . D-wave implementation of quantum annealing for optimal resource allocation in disaster response operation of Marikina city [J ] . ECTI Transactions on Computer and Information Technology (ECTI-CIT) , 2024 , 18 ( 1 ): 24 - 33 .

魏璐 , 马钟 , 刘倩玉 . 量子计算模拟平台发展综述 [J ] . 微电子学与计算机 , 2022 , 39 ( 11 ): 1 - 10 .

WEI L , MA Z , LIU Q Y . Overview of quantum computing simulation platforms [J ] . Microelectronics & Computer , 2022 , 39 ( 11 ): 1 - 10 .

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