Quantum State Modeling and Suppression of Quantum Decoherence

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum decoherence represents a significant obstacle to the advancement of quantum computing. This paper presents a novel approach to modeling and suppressing quantum decoherence, leveraging quantum control techniques. We establish a comprehensive mathematical model for quantum state decoherence, incorporating factors such as dephasing and dissipation. Subsequently, we develop a feedback control strategy based on real-time measurement of the quantum state, enabling precise suppression of decoherence. The core of our method relies on dynamically adjusting control pulses to counteract the detrimental effects of environmental interactions. Through theoretical analysis and mathematical formulation, we demonstrate the potential of this approach to significantly enhance the precision and stability of quantum computations. Our model incorporates key parameters including the initial state vector (ψ), the decoherence rate (γ), the dephasing rate (δ), the dissipation rate (κ), and the control pulse amplitude (F). The effectiveness of the control strategy is evaluated through simulations, showcasing a notable reduction in decoherence and improved fidelity of quantum operations. The proposed method offers a viable pathway towards building robust and scalable quantum computers.

DOI: 10.5281/zenodo.22245682

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