"Optimizing Power Transmission, Information Storage, and Quantum Computing Using Quantum Entanglement and Quantum Erasure Effects"

This paper proposes a novel theoretical framework for optimizing power transmission, information storage, and quantum computing by leveraging Quantum Entanglement and Quantum Erasure Effects.<br>The approach involves strategically arranging multiple path detectors along power transmission lines to control the transformation between the particle and wave nature of electrons.<br>By maintaining particle nature during transmission, power loss is minimized, and transmission stability is enhanced.<br>Conversely, by restoring wave nature during computation and storage, the efficiency of quantum computing and the capacity of information storage are significantly increased.<br>This framework introduces a dynamic control of wave-particle duality and demonstrates a gradual transition between particle and wave behaviors by progressively erasing information from multiple detectors.<br>The findings offer a revolutionary perspective on improving energy efficiency, enhancing storage capacity, and optimizing computing speed through advanced quantum mechanics principles.