Quantum-dot cellular automata (QCA) is one of the most prominent technologies in nanometer-scale with appreciable reduction of size and power consumption and high switching frequency to overcome the scaling limitations of complementary metal-oxide semiconductor. On the other hand, code converters play a key role in signal processing and efficient network designs. The researchers have focused on emerging nano-devices that can identify errors throughout information transfer. Therefore, in this research, a new QCA-based 4-bit binary to gray converter circuit employing the appropriate configuration of the XOR gate as a basic building block has been suggested. The layout has been generated using the QCADesigner simulation tool to test the functionality of the code converter. The performance results indicated that the proposed converter works properly and has optimum performance parameters such as latency, complexity, and consumed area as compared to the current schemes.

量子点元胞自动机（QCA）是纳米级最著名的技术之一，可显着减小尺寸和功耗，并具有较高的开关频率，从而克服了互补金属氧化物半导体的尺寸限制。另一方面，代码转换器在信号处理和有效的网络设计中起着关键作用。研究人员专注于可以在整个信息传输过程中识别错误的新兴纳米设备。因此，在这项研究中，已经提出了一种新的基于QCA的4位二进制至灰度转换器电路，该电路采用XOR门的适当配置作为基本构件。使用QCADesigner仿真工具生成了布局，以测试代码转换器的功能。