Quantum Resource Allocation Based on Quantum Decoherence

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum computing resource allocation leveraging the principles of quantum decoherence. Traditional methods for allocating quantum resources in quantum computing often suffer from inefficiencies due to the inherent fragility of quantum states. This work proposes a framework that strategically utilizes decoherence to mitigate unwanted quantum interactions, thereby enhancing the allocation process and ultimately improving the overall computational efficiency. The core idea is to harness the controlled reduction of coherence within quantum systems to guide resource distribution, effectively isolating critical qubits and minimizing interference. We present a mathematical model incorporating decoherence rates and qubit connectivity to demonstrate the feasibility and potential advantages of this technique. The model's key equation is: Δt = (1/γi) * ln(1 - ρi), where Δt is the decoherence time, γi is the decoherence rate for qubit *i*, and ρi is the probability of qubit *i* remaining in its initial state. This approach offers a promising direction for addressing the challenges of quantum resource allocation and contributes to the development of more robust and efficient quantum computing architectures. ---

DOI: 10.5281/zenodo.22292580

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