Computer Scientists Discover Limits of Major Research Algorithm The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult ...

Algorithmic complexity, a cornerstone of theoretical computer science, examines the intrinsic resource requirements of computational problems and the limits of what can be efficiently computed.

A major advance in computational complexity reveals deep connections between the classes of problems that computers can — and can’t — possibly do.

The actual best way to distinguish between complexity classes like BQP and PH is to measure the computational time required to solve a problem in each.