Quantum Computing Foundation of High-Order Matrix Operations
Jincheng Zhang
Abstract
This paper investigates the potential of utilizing quantum entanglement to revolutionize matrix operations, a crucial component of many linear algebra algorithms. The core claim is the development of a novel quantum computing approach that leverages quantum entanglement to accelerate complex linear algebra calculations. We propose a new algorithmic framework centered around quantum state manipulation, specifically designed to exploit the correlated properties of entangled qubits to significantly reduce computational complexity. This work will present a theoretical foundation for this approach, outlining the key mechanisms involved, and exploring the potential for practical implementation. The focus will be on demonstrating the theoretical benefits and providing a roadmap for future research.