Multi-Variable Entanglement Control in Asymmetric Quantum Computing
Jincheng Zhang
Abstract
This paper explores a novel approach to asymmetric quantum computing centered around the precise control of multi-variable entanglement. Current methods primarily leverage single-variable entanglement, presenting limitations in scalability and parallel computation efficiency. We propose a framework utilizing quantum gate arrays and quantum circuits to construct a multi-variable entanglement control mechanism. This mechanism employs precisely executed quantum gate operations to establish entanglement between multiple qubits, facilitating controlled entanglement swapping. The core claim is to design a scheme capable of simultaneously controlling multiple variables, ultimately enhancing computational power and scalability for asymmetric quantum algorithms. The theoretical underpinnings are detailed, outlining the mathematical formalism and key operational steps involved in achieving this multi-variable control. This work introduces a new paradigm for asymmetric quantum computing, addressing a critical bottleneck in the field. ---