Quantum Computing Resource Allocation Optimization Problem

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

Quantum computing holds immense promise for solving complex problems intractable for classical computers. However, realizing this potential hinges critically on efficient resource allocation. This paper addresses the optimization of resource allocation in quantum computing, specifically focusing on problems like quantum circuit design and qubit allocation. We propose a methodology leveraging optimization techniques, primarily linear and integer programming, to determine optimal resource configurations. The core claim is the development of an effective method for this type of optimization. The mechanism involves formulating the resource allocation problem as a mathematical optimization problem and utilizing established techniques to find the optimal solution. This research contributes to the burgeoning field by providing a structured approach to tackling the fundamental challenge of resource allocation, aiming for efficiency and optimality in quantum computational tasks. The primary objective is to present a framework for systematically addressing resource allocation, a critical factor in the successful deployment of quantum computing technologies.

DOI: 10.5281/zenodo.22137942

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