publication . Article . Other literature type . Preprint . 2001

A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem

Daniel Preda; Andrew Lundgren; Jeffrey Goldstone; Sam Gutmann; Joshua Lapan; Edward Farhi;
Open Access
  • Published: 20 Apr 2001 Journal: Science, volume 292, pages 472-475 (issn: 0036-8075, eissn: 1095-9203, Copyright policy)
  • Publisher: American Association for the Advancement of Science (AAAS)
A quantum system will stay near its instantaneous ground state if the Hamiltonian that governs its evolution varies slowly enough. This quantum adiabatic behavior is the basis of a new class of algorithms for quantum computing. We test one such algorithm by applying it to randomly generated, hard, instances of an NP-complete problem. For the small examples that we can simulate, the quantum adiabatic algorithm works well, and provides evidence that quantum computers (if large ones can be built) may be able to outperform ordinary computers on hard sets of instances of NP-complete problems.
ACM Computing Classification System: ComputerSystemsOrganization_MISCELLANEOUS
free text keywords: Multidisciplinary, Quantum Physics, Algorithm, Quantum computer, Quantum algorithm, Quantum network, Quantum phase estimation algorithm, Quantum error correction, Quantum process, Quantum information, Adiabatic quantum computation
Related Organizations

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