Quantum Information "Self-Maintained" Algorithm
Jincheng Zhang
Abstract
Quantum information processing holds immense promise for revolutionary advancements across numerous fields, from medicine and materials science to cryptography and artificial intelligence. However, achieving practical quantum computation faces significant challenges, particularly regarding qubit stability and coherence. This paper introduces a novel quantum information algorithm, dubbed "Self-Maintained Quantum Computation," designed to address these challenges by incorporating quantum entanglement and superposition, coupled with a self-maintaining mechanism. The core of this algorithm lies in leveraging the enhanced stability of entangled qubits through a carefully orchestrated sequence of quantum operations, mitigating decoherence effects and facilitating higher precision calculations. We propose a framework where the algorithm continuously monitors and adjusts the quantum state to maintain its integrity, offering a pathway to surpass current limitations in quantum computation. The goal is to demonstrate a practical implementation of this self-maintaining algorithm, showcasing its potential for achieving significantly higher accuracy and stability compared to existing approaches.