The encryption technologies that protect all online electronic transactions may become effective, overnight, in light of an accelerated global race to avoid an imminent digital disaster. While traditional devices, such as smartphones, depend on processing information in 1 and 0, quantum computing depends on units known as “quits”, which can be found in multiple cases at the same time. This is similar to reading all library books at once instead of browsing them one by one, which represents a fundamental shift in the methodology of solving problems, based on the characteristics of quantum physics in implementing accounts that require thousands of years on traditional computers. This transformation is not merely a theory, as quantum computing began to move from laboratories to the ground. IBM provides quantum computers across the cloud, while Google has proven out of its quantitative systems on traditional supercomputers in stages. Companies such as Microsoft provides on the Azure Quantum platform, and Amazon Web Services via Braket service, directly up to this technology. At the same time, startups such as RIGETTI and IonQ are developing and marketing advanced quantitative devices, which enhances the growth of the ecosystem of quantitative computing and makes it a tangible reality in the business world. In front of this transformation, “preparing for quantitative computing” has become an urgent necessity for individuals and institutions seeking to maintain their competitiveness and their information security. This means the preparation of a world in which this technology becomes part of the prevailing current, by understanding the challenges accompanying it and the opportunities it provides for innovation and growth. Just as the institutions had previously forced to adapt to the rise of the Internet and mobile technologies, today they must anticipate the changes that the quantitative computing will make on cybersecurity, operations and institutional strategies. One of the most prominent concerns is the ability of quantitative computing to break the current encryption systems, which threatens digital safety, from bank accounts to government communications. Therefore, governments and institutions are racing to develop standards resistant to quantity, and adopt “Crypto-Agility” strategies that allow to quickly update protection when new threats appear, but opportunities are no less important than challenges. Where quantitative computing opens doors for radical transformations that may change the features of industries through their unique capabilities to simulate and improve. Material scientists use quantitative simulation to design new batteries and super connects. The partnership between quantitative computing and artificial intelligence inflames these capabilities, as artificial intelligence improves the performance of quantitative systems by reducing errors, while quantitative computers expedite the process of training models on huge data collections. This integration produces strong tools for improving traffic, managing energy networks, and analyzing risk, in a way that no technology can achieve on its own. Building quantitative awareness begins to recognize that this transformation has already started, as universities and companies expand in providing specialized educational programs in quantum computing, based on the conviction that familiarity with this technology will become necessary. Whether you are planning an institutional strategy, or managing technological risks, the time of preparation has already started. Preparing for your consciousness begins that the future is now starting, and the question is, “Will this technology change our world?” Rather, “How far will we be ready when that happens?”
