The escalating number of cyber- attacks that occur around the world has made the online security space quite exposed. Even though businesses plant essential security frameworks, the procedure is difficult and unfeasible for traditional digital systems. As a result, cyber security has remained a critical concern around the world. We are becoming even more exposed to these risks as our reliance on technology spring up. Our quantum learning- based solutions have aided in the development of numerous strategies to address these cyber security threats. Quantum computing can also aid in the development of encryption systems, commonly known as quantum cryptography.
Traditional algorithms, such as AES/PKI, do not provide dependable and infallible security encryption over time. Many expert studies have shown that these encryptions can be cracked, making them vulnerable and thus posing a threat to the system, making our Quantum Cryptography Solution all the more important to improve security.
Current industry disruptions are mostly referred to as irregular operations management (IROPS), i.e. fleet, crew, passengers, and look-ahead impact, which are fragmented at the moment and can be solved in a holistic and simultaneous manner rather than the current conventional methodology, which involves multiple steps with different tools (sub-optimal/inefficient solutions).
The vast scope of IROPs, as well as the resulting complexity of the underlying global mathematical optimization problem, make it nearly impossible to solve on today’s computers, as even resolving a single operational disruption could take an unreasonable amount of time. We can solve this problem by putting our quantum algorithmic practises to work.
Our solution gives you wings to overcome the limitation in customer segmentation and allows you to utilize contextual parameters which may act as a key differentiator for your customers as it captures the multi-dimensional segmentation to effectively capture contextual differences in preferences, intent and behavior of passengers. Even if you have a large complicated data set with hundreds of personas, many geographies, a dozen sites, and thousands of locations, personalisation is achievable.
Weather forecasting takes into account various variables such as air pressure, temperature, and air density, making it difficult to anticipate accurately, but our technique overcomes these restrictions. Our technologies have helped meteorologists acquire better insight in their prediction and forecasting because quantum computers can evaluate all data at once. With a greater understanding of when adverse weather may occur, it will be possible to inform people in order to save lives, pain, and money. Meteorologists will be able to develop and analyse more comprehensive climate models using the pattern creation tool, which will provide additional insight into climate change and strategies to mitigate it.
One step towards Simple Quantum
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