TY - JOUR T1 - Finding cliques by quantum adiabatic evolution Y1 - 2000 A1 - Andrew M. Childs A1 - Edward Farhi A1 - Jeffrey Goldstone A1 - Sam Gutmann AB - Quantum adiabatic evolution provides a general technique for the solution of combinatorial search problems on quantum computers. We present the results of a numerical study of a particular application of quantum adiabatic evolution, the problem of finding the largest clique in a random graph. An n-vertex random graph has each edge included with probability 1/2, and a clique is a completely connected subgraph. There is no known classical algorithm that finds the largest clique in a random graph with high probability and runs in a time polynomial in n. For the small graphs we are able to investigate (n <= 18), the quantum algorithm appears to require only a quadratic run time. UR - http://arxiv.org/abs/quant-ph/0012104v1 J1 - Quantum Information and Computation 2 ER -