Title: Quantum Error Mitigation with Hybrid Quantum-Classical Techniques
Jincheng Zhang
Abstract
Quantum error mitigation (QEM) is a crucial step in developing practical quantum algorithms, allowing for the correction of errors introduced during computation. However, the inherent complexity of quantum systems and the need for computationally intensive error correction mechanisms have historically limited the widespread adoption of QEM. This paper proposes a novel hybrid quantum-classical approach to QEM, integrating classical computation for error correction with dynamically adjusting quantum computations to minimize the impact of noise. We demonstrate the efficacy of this strategy through a series of simulations and analysis, showcasing a significant reduction in error rates compared to traditional methods. The core mechanism involves a feedback loop that prioritizes error correction based on real-time error metrics, utilizing classical computation to optimize the quantum circuit's execution. This approach addresses the limitations of existing methods by offering a more efficient and scalable solution for QEM, paving the way for broader quantum computing applications.