Quantum Entanglement-Aware Adaptive Quantum Computing Framework
Jincheng Zhang
Abstract
Quantum entanglement-aware adaptive quantum computing frameworks represent a significant advancement in the field of quantum computation, addressing the limitations of static parameter design. This paper proposes a novel framework that leverages the unique properties of quantum entanglement to dynamically adjust quantum computation parameters, ultimately enhancing both computational efficiency and accuracy. The core mechanism revolves around exploiting entanglement to create a feedback loop, allowing the system to self-optimize and mitigate errors. This innovative approach offers a potential pathway towards more robust and versatile quantum algorithms.