Quantum Decoherence Control for Distributed Quantum Computing
Jincheng Zhang
Abstract
This paper investigates the application of quantum decoherence control techniques to enhance distributed quantum computing. The core challenge in distributed quantum computing lies in mitigating the detrimental effects of quantum decoherence, which rapidly degrades the delicate quantum states of qubits, hindering computation accuracy and fidelity. This research proposes a novel approach utilizing precisely controlled interactions between qubits to suppress decoherence and establish robust entanglement, ultimately facilitating accurate and efficient distributed quantum computation. The theoretical framework outlines key control strategies and associated mathematical formulations, demonstrating the potential for significant improvements in performance. Specifically, we explore the use of tailored pulse sequences designed to minimize dephasing and minimize the impact of environmental noise. The proposed method leverages a feedback control system to dynamically adjust the control parameters based on real-time decoherence monitoring. The presented formalism includes the Bloch equations and their extensions to account for controlled interactions, providing a rigorous foundation for the theoretical analysis. We demonstrate the feasibility of achieving high-fidelity entanglement and quantum gates in a distributed system, paving the way for scalable quantum computation. Finally, we discuss the limitations and future directions of this approach, emphasizing the need for advanced noise mitigation techniques and improved qubit coherence times.