Quantum Dot Cellular Automata (QCA) is a promising nanotechnology plat form that has the potential to revolutionize computing by offering high-speed, low-power alternatives to traditional transistor-based circuits. One of the critical areas of development in QCA is the design of quantum memory systems, which are essential for implementing stable and reliable computing architectures. This paper reviews the cumulative design approaches for quantum memory in QCA, focusing on their implications for protocol measurement. We examine the fundamental principles of QCA-based quantum memory, the design challenges, and the strategies employed to ensure accurate and efficient measurement protocols. The review aims to provide a comprehensive understanding of current advancements and highlight future directions for research in this field.