Quantum Entanglement Computation Adaptive Quantum Entanglement Arrangement Algorithm
Jincheng Zhang
Abstract
Quantum entanglement is a fundamental resource in quantum computing, enabling functionalities beyond classical computation. However, maintaining entanglement coherence – the ability to sustain entanglement across time – is a significant challenge in quantum computing. This paper proposes a novel self-adaptive quantum entanglement arrangement algorithm, designed to maximize computational efficiency and stability. The algorithm dynamically adjusts the entanglement strength, direction, and connections between qubits based on the evolving quantum system state. We present a conceptual framework and preliminary results demonstrating this approach's potential to overcome limitations of traditional entanglement management techniques. The core mechanism focuses on implementing a "quantum entanglement intelligence" that continuously monitors and responds to changes in the quantum system, ensuring optimal entanglement distribution and minimizing decoherence. This advancement promises to unlock new capabilities within quantum computation, fostering a "quantum multi-agent" system.