Quantum Computing-Based Bit Encoding and Decoding for IoT Data Transmission

The Internet of Things (IoT) has proven effective in automating various tasks and finding applications in real-world scenarios such as intelligent industries, smart agriculture, e-healthcare, and environment exploration. Nevertheless, their applications demand secure data transmission, as IoT devices remain susceptible to hacking, potentially leading to data breaches. Such breaches can disrupt device operations, posing risks such as fires, impacts on health, and even jeopardizing lives. These security issues are being addressed using blockchain, which has proven effective in classical computing architectures. However, the technology is gradually transitioning towards quantum computing, which has significant processing power that could easily compromise the algorithms employed by blockchain. Thus, there is a need to use quantum computing approaches. In this work, we propose a small IoT environment for a bit encoding and decoding using quantum superdense coding in the data transmission for IoT devices to validate the feasibility of quantum algorithms in IoT. We tested sending integers through two emulated Raspberry Pi devices in VirtualBox. On each Raspberry Pi, we implemented superdense coding to encode and decode the integers sent by the neighbor device via MQTT. Comparing the source data with the target data, the results indicated zero errors in data transmission, confirming that superdense coding is feasible in the IoT context. The average execution time for data decoding was 0, 39 seconds based on 50 tests.