Quantum Entanglement-Driven Probabilistic Computation
Jincheng Zhang
Abstract
Quantum Entanglement-Driven Probabilistic Computation explores the potential of quantum entanglement to revolutionize computation. Traditional logic-based systems often struggle with the complexity of certain problems, and quantum entanglement offers a novel approach through the creation of entangled states for computation. This paper presents a framework leveraging entangled states to perform calculations, emphasizing parallel processing and instantaneous behavior. We outline the core mechanism – a novel probabilistic logic operation – and demonstrate its potential for surpassing the limitations of classical logic in specific scenarios. The research investigates how entanglement can be harnessed to overcome computational bottlenecks and offers a promising direction for future advancements in probabilistic computation.