Quantum Computing and Information
Polynomial time refers to a class of computational complexity where the time taken to solve a problem grows polynomially with the size of the input. This concept is crucial in distinguishing efficient algorithms from inefficient ones, as problems that can be solved in polynomial time are generally considered tractable and practical for large inputs. Understanding polynomial time is essential when comparing classical algorithms with quantum algorithms, as it highlights differences in computational efficiency and capability.
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