Quantum Error Correction Codes Based Computation Resource Allocation

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper explores a novel approach to computation resource allocation leveraging the inherent error-correcting capabilities of quantum error correction (QEC) codes. Traditional approaches to resource allocation often struggle with the inherent noise and fragility of quantum systems, leading to inefficiencies and unreliable computations. Our proposed framework addresses this challenge by directly utilizing QEC codes to manage and allocate quantum computational resources. We decompose complex computational tasks into smaller, manageable units, encoded across multiple qubits using a chosen QEC code. The code's ability to detect and correct errors enables a robust and adaptive resource allocation strategy, dynamically adjusting the allocation based on observed error rates and resource utilization. This approach promises to significantly improve the utilization efficiency and reliability of quantum computing systems, particularly for complex and demanding computations. The core claim is the use of QEC's error correction capabilities to create an efficient computation resource allocation mechanism. The core mechanism involves task decomposition, error detection/correction, and dynamic adjustment based on resource utilization. This research offers a new paradigm for quantum resource management.

DOI: 10.5281/zenodo.22138122

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