But it will struggle to solve more complex problems, like simulating how those molecules behave. Let's look a an example that shows how quantum computers can succeed where classical computers fail:Ī classical computer might be great at difficult tasks like sorting through a big database of molecules. Computers that make calculations using the quantum states of quantum bits should in many situations be our best tools for understanding it. There are some complex problems that we do not know how to solve with classical computers at any scale. Identifying subtle patterns of fraud in financial transactions or new physics in a supercollider are also complex problems. Modeling the behavior of individual atoms in a molecule is a complex problem, because of all the different electrons interacting with one another. When classical computers fail, it's often due to complexity.Ĭomplex problems are problems with lots of variables interacting in complicated ways. If a supercomputer gets stumped, that's probably because the big classical machine was asked to solve a problem with a high degree of complexity. They struggle to solve certain kinds of problems. However, even supercomputers are binary code-based machines reliant on 20th-century transistor technology. These are very large classical computers, often with thousands of classical CPU and GPU cores capable of running very large calculations and advanced artificial intelligence. When scientists and engineers encounter difficult problems, they turn to supercomputers.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |