2025年量子计算应用能力指标与测评研究报告

Core Insights - The report aims to establish a framework for evaluating quantum computing application capabilities to promote the development of quantum computing applications [1][2]. Group 1: Research Background - Quantum computing, based on quantum mechanics, possesses powerful parallel computing capabilities but is currently in the Noisy Intermediate-Scale Quantum (NISQ) stage, raising questions about its ability to solve industry problems and outperform classical computing [1][2]. - There is a lack of tools and methods to accurately assess the overall performance of quantum computing, making the construction of an evaluation framework essential [1][2]. Group 2: Industry Scenarios and Demands - High-computing-demand industries such as mobile networks and finance face significant computational challenges, including complex signal processing and optimization problems [1][2]. - The mobile network sector requires solutions for issues like 512×8 dimensional MIMO matrix calculations and 500-cell joint coverage optimization, while the finance sector urgently needs to optimize investment portfolios and manage risks [1][2]. Group 3: Quantum Computing Application Capability Framework - The key indicators of application capability encompass computational demands such as computation time, accuracy, scale, and efficiency, as well as hardware and algorithm performance, enhancement capabilities, scalability, and deployment capabilities [2]. - The report introduces a grading system for quantum computing application capabilities based on the maturity of different types of quantum computing technologies [2]. Group 4: Evaluation Methods for Quantum Computing Application Capabilities - The evaluation is divided into three levels: basic technical capability, application technical capability, and comprehensive application and future prospects [2]. - The report provides examples of quantum algorithm application capability assessments, particularly in the context of mobile network computing demands [2]. Group 5: Standardization Needs for Quantum Computing Application Capability Evaluation - There is a significant need for standardization in evaluation methods due to unclear comprehensive capability indicators and inconsistent evaluation schemes [2]. - Future efforts should focus on advancing standardization from both industrial and academic perspectives, despite challenges such as varying industry maturity and diverse technological routes [2]. Group 6: Summary and Outlook - Evaluating quantum computing application capabilities is crucial for connecting industry demands with quantum computing capabilities, although the integration of industry needs and quantum computing is still in its early stages [2]. - Future attention should be directed towards research and standardization progress to refine the indicator and grading systems, providing more practical references for industry development [2].