Title: Based Adaptive Topology Quantum Entanglement Computation Model (QACM)
Jincheng Zhang
Abstract
Quantum entanglement is a fundamental concept in quantum information science, exhibiting properties that defy classical physics. However, its delicate nature makes it challenging to utilize in practical computations. This paper introduces the QACM, a novel computational model based on adaptive topology, designed to simulate the complex behavior of quantum entanglement with improved efficiency and scalability. The QACM leverages a dynamically constructed topology to represent and manipulate entangled states, offering a fundamentally different approach to quantum computation compared to existing methods. This work demonstrates the efficacy of the QACM through a rigorous analysis of its performance on a simplified quantum circuit, highlighting its potential to unlock new avenues in quantum algorithm design and analysis.