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 comput- ing architectures. This paper reviews the cumulative design approaches for quantum memory in QCA, focusing on their implications for protocol mea- surement. 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