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Tool: QUIET: A Tool for Sampling-Based Quantum Noise Error Mitigation
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AI
DOI：10.1109/MS.2025.3532106.png)
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Abstract
En 中文
The development of reliable quantum software is one of the key challenges in today’s quantum computing landscape, due largely to the presence of quantum noise. Quantum noise poses a significant obstacle in fully realizing the potential of quantum computing. Although existing quantum error mitigation techniques focus mainly on correcting errors in expectation value-based outputs produced by quantum software, there are fewer solutions for mitigating errors in sampling-based outputs, which are essential for algorithms like Shor’s and Grover’s. In this article, we present QUIET, a tool that implements the state-of-the-art sampling-based error mitigation technique QLEAR to reduce noise in the sampling-based output of quantum software. QUIET operates as a postprocessing tool and is compatible with various quantum computers and quantum software execution frameworks.
Keywords:
Noise measurement
Integrated circuit modeling
Qubit
Quantum circuit
Prevention and mitigation
Training
Computational modeling
Computers
Software engineering
Journal
IF:
3
Papers:
3.1K
Citations:
3.6K