• DocumentCode
    3261098
  • Title

    High-level methods for quantum computation and information

  • Author

    Abramsky, Samson

  • Author_Institution
    Comput. Lab., Oxford Univ., UK
  • fYear
    2004
  • fDate
    13-17 July 2004
  • Firstpage
    410
  • Lastpage
    414
  • Abstract
    Quantum information and computation is concerned with the use of quantum-mechanical systems to carry out computational and information-processing tasks (Nielsen and Chunag, 2000). In the few short years that this approach has been studied, a number of remarkable concepts and results have emerged, most notably:a couple of spectacular algorithms and a number of information protocols, exemplified by quantum teleportation, which exploit quantum entanglement in an essential fashion. The current tools available for developing quantum algorithms and protocols are deficient on two main levels: firstly, they are too low-level and at a more fundamental level, the standard mathematical framework for quantum mechanics (which is essentially due to von Neumann (1932)) is actually insufficiency comprehensive for informatic purposes. In joint work with Bob Coecke, we have recently made some striking progress in addressing both these points. They have recast the von Neumann formalism at a more abstract and conceptual level, using category theory.
  • Keywords
    category theory; quantum communication; quantum computing; quantum entanglement; teleportation; category theory; computational tasks; high-level methods; information protocols; information-processing tasks; quantum algorithms; quantum computation; quantum entanglement; quantum information; quantum mechanics; quantum teleportation; quantum-mechanical systems; von Neumann formalism; Circuits; Fault tolerance; Fluid flow measurement; Laboratories; Performance evaluation; Polynomials; Protocols; Quantum computing; Quantum entanglement; Teleportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science, 2004. Proceedings of the 19th Annual IEEE Symposium on
  • ISSN
    1043-6871
  • Print_ISBN
    0-7695-2192-4
  • Type

    conf

  • DOI
    10.1109/LICS.2004.1319635
  • Filename
    1319635