A Noise-Aware Hybrid Quantum-Classical Framework for Reliable Quantum Information Processing
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报告开始:2026年10月12日 17:00(Asia/Ho_Chi_Minh)

报告时间:15min

所在会场:[S5] Track 5: Emerging Trends of AI/ML [S5-5] Track 5: Emerging Trends of AI/ML

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摘要
Quantum‍‌‍‍‌ information technologies have been evolving across computing, communication, sensing, and security. However, the quantum state still suffers from gate errors, measurement errors, decoherence, and other limitations of the hardware. This paper introduces an environment of a noise-aware hybrid quantum-classical for investigating the quantum information processing reliability when the system is under representative noises. The framework is implemented by using quantum circuit execution together with classical circuit analysis, measurement processing, and lightweight error mitigation. Parameterized quantum circuits with different depths are used to illustrate the three types of execution conditions: ideal, noisy, and noise-mitigated. To assess the performance, the following metrics are considered: circuit fidelity, output error, successful-state probability, and execution overhead. As an example, if the circuit fidelity for the ideal case is about 99.8%, it decreases to approximately 86.7% once we consider the noisy situation. On the contrary, our proposed mitigation method helps to enhance that to 93.8%. Apart from showing the effect of circuit depth, the research also considers measurement correction. One of the key results is that practical quantum applications must take into account the interplay between circuit design, hardware noise, and classical processing rather than looking at the quantum algorithm in isolation.
 
关键词
Quantum Error Correction,Quantum Communication,Quantum Computing
报告人
Amulya Gurijala
Senior AI/ML Enginee Citizens bank

稿件作者
Amulya Gurijala Citizens bank
Sai Divya Kancharla Hilton grand Vacations
Sangeeth Kumar Vanam TCS
Hari Naga Saran Kumpatla Bank of new york Mellon
Phani Monogya Katikireddi Citizens bank
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重要日期
  • 会议日期

    10月11日

    2026

    至

    10月14日

    2026

  • 12月30日 2025

    报告提交截止日期

  • 09月28日 2026

    提前注册日期

  • 10月10日 2026

    初稿截稿日期

  • 10月14日 2026

    注册截止日期

主办单位
United Societies of Science
承办单位
Posts and Telecommunications Institute of Technology
协办单位
IEEE Section
IEEE Vietnam Section
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