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Quantum computing holds the key for an exciting future by incorporating Reverse Computing (RC) into its fold. The news is full of breakthroughs in quantum computing, enhancement of processing frameworks and the ability to solve complex problems in record time. The most recent achievement was from the Sycamore chip using 53 qubits inside Googles quantum computer. The Sycamore chip produced binary strings over a million times and samples results to come up with the probability that any given string would appear. The Sycamore chip was able to achieve a solution to this problem within 200 seconds whereas, the fastest IBM computer (Summit) would take over 10,000 years. Google claimed quantum supremacy. There are several other examples of news around quantum computing such as the group of scientist led by Argonne National Laboratory that claimed that they reversed time and claims of quantum annealing chips performing faster than training algorithms. When such claims are made, scientist cast doubts, issue counterclaims and rebuttals by comparing the results with GPU, adjusted code on classical machines or plain dismissal. Since the scope of this article is not to discuss counter claims, it is important to mention that such claims should be viewed via a keyhole. These claims are for niche applications and results are misinterpreted for the quantum computing realm as a whole. While breakthroughs have applications that may be extrapolated to future developments, it is important to view them as a unique application for a particular solution, i.e., they can be applied towards a targeted problem with predefined equations, hardware and environment setup. They cannot be applied to any problem using another computing machine and that is the stumbling block that holds back the promise of quantum computing. To enable quantum computing to realise its full potential, RC needs to be updated and applied to quantum processes. RC would enable application of quantum processes across..