Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
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US team finds ‘super-polynomial’ problems that even quantum computers can’t crack
Certain quantum phases, such as topological order, are notoriously difficult for computers to identify. The challenge grows with the correlation length, a measure of how far the p ...
Hilbert’s 12th problem asked for novel analogues of the roots of unity, the building blocks for certain number systems. Now, over 100 years later, two mathematicians have produced them. Problems in ...
Polynomials is one of the most important chapters in the CBSE curriculum, carrying a weightage of around 5 marks in the board ...
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