The Convergence of the Internet of Things and Quantum Computing
(BBNTimes) The Internet of Things (IoT) is actively shaping both the industrial and consumer worlds, and by 2023, consumers, companies, and governments will install 40 billion IoT devices globally.
One of the top candidates to help in securing IoT is Quantum Computing.
With its capabilities, quantum computing can help address the challenges and issues that hamper the growth of IoT. Some of these capabilities are:
–Optimized complex computation power: With Quantum Computing the speed is incredibly high, IoT benefits from this speed since IoT devices generate a massive amount of data that requires heavy computation and other complex optimization.
–Faster validation and verification process: Quantum computing addresses that concern as it can speed up the verification and validation process across all the systems several times faster while ensuring constant optimization of the systems.
–More secure communications: A more secure communication is possible through quantum cryptography as explained before. The complexity serves as a defense against cyberattacks including data breaches, authentication, and malware, and ransomware.
IoT is expanding as we depend on our digital devices more every day. Furthermore, WFH (Work From Home) concept resulted from COVID-19 lockdowns accelerated the deployment of many IoT devices and shorten the learning curves of using such devices. When IoT converges with Quantum Computing under “Quantum IoT” or QIoT, that will push other technologies to use Quantum Computing and add “Quantum” or “Q” to their products and services labels, we will see more adoption of Quantum hardware and software applications in addition to Quantum services like QSaaS, QIaaS, and QPaaS as parts of Quantum Cloud and QAI (Quantum Artificial Intelligence) to mention few examples.