Mathematics play a key role in how data is expressed and analyzed in the sciences and engineering--for example, in describing the relationships between subatomic particles in nuclear physics. In the case of high-dimensional functional spaces (a way of modelling datasets with staggeringly high numbers of attributes), the calculations required to solve systems of equations are extremely complex, and are often beyond the capabilities of classical algorithms to solve. Riken turned to quantum computing for new ways to process these problems.