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Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex ...
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Tech Xplore on MSNSpace-time computational modeling delivers high-precision solutions for complex engineering challenges
When most people think of computer simulations, they imagine sleek graphics or Hollywood-style animations. But for Tayfun ...
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Tribune Online on MSNFrom FUTA to the Frontier of Drug Discovery: The Young Scientist Building a Global Bridge Through “The Insilico Lab”
On a humid afternoon in Akure, Nigeria, a young undergraduate sat poring over textbooks in a university library, unaware that his journey would one day stretch from West Africa to some of the most ...
To demonstrate quantum supremacy, researchers typically select a computational problem that is infeasible to solve on classical systems, and show that a quantum computer can solve it efficiently.
Questions like this one, about the most efficient way to solve problems, are at the heart of the branch of computer science known as computational complexity theory.
Avi Wigderson's pioneering work on randomness advanced the idea that some problems may simply be beyond even the most powerful computers.
P refers to the set of computational problems that computers can solve efficiently. NP, meanwhile, stands for the problems whose solutions can be verified efficiently.
Researchers have proved that secure quantum encryption is possible in a world without hard problems, establishing a new foundation for what is needed to keep information secure.
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