Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
Complexity theory is a fundamental branch of theoretical computer science that categorises computational problems according to their inherent difficulty and the resources required to solve them. At ...
The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...
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Firefly-inspired algorithm tackles resource allocation problem
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...
The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...
In 1994, a mathematician figured out how to make a quantum computer do something that no ordinary classical computer could. The work revealed that, in principle, a machine based on the rules of ...
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Google claims its latest quantum algorithm can outperform supercomputers on a real-world task
Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...
Complexity theory is a branch of computer science that studies the resources required to solve computational problems, particularly focusing on the classification of problems based on their inherent ...
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