Engineering
Engineers have succeeded in modeling machines, such as Digital Twins, or setting up predictive models, such as Predictive Maintenance. Yet finite element methods or vast manifolds of interdependent time series of data probe conventional computer architectures, often pushing the limits too low to harness the true value of Big Data.
Environmental Technologies
Our ecosystem is both local and global. Everything is interconnected, and the efficiency of our production and distribution systems, such as the energy grid, depends heavily on complex rational decisions that often have to be made quickly and precisely. How we manage our global environment, climate and natural resources is critical to the future of our species.
Logistics & Automotive
Today’s global supply chains are no less interactive than the financial world, but physics and its inflexible rules come into play. IoT networks deliver massive amounts of data, and classic computer architectures are overwhelmed by unpredictable IO-driven tasks and user behaviors. In addition, safety for people and assets is paramount, and time delays caused by slow computers cannot be tolerated.
Financial Technologies
The financial world is a highly diverse conglomerate of actors, both artificial and human. In any transaction, there are only a few acceptable parameters, but an overwhelming number of undesirable possibilities.
Healthcare
Of course, a hybrid quantum computer can also be used to good effect for simulating quantum systems themselves, which occurs not only in particle physics, as performed by CERN, but also in many types of molecular simulations. Applications range from materials science to medical analysis of drugs.