• DocumentCode
    2299613
  • Title

    Quantum Phase Estimation Using Multivalued Logic

  • Author

    Parasa, Vamsi ; Perkowski, Marek

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    224
  • Lastpage
    229
  • Abstract
    Quantum phase estimation (QPE) is one of the most important quantum algorithms which is used as a subroutine for other important quantum algorithms like Shor´s factoring algorithm, simulation of quantum systems, quantum counting and QFT on arbitrary Zp. In this paper we develop the theoretical framework for the multivalued quantum logic version of the QPE algorithm using d valued qudits and show a quantum circuit to implement QPE with a complexity of O(nlogn) single qudit operations. The multivalued QPE algorithm, when compared to the binary quantum logic version, turns out to be more robust and leads to a significant decrease in the number of qudits required along with drastic improvement in the precision and success probability. We derive the requirements to amplify the probability of success to a value very close to 1 (for a given precision), thereby generalizing the previously obtained result in the binary case. Also, we note that the failure probability of QPE algorithm decreases exponentially as d increases.
  • Keywords
    computational complexity; multivalued logic; phase estimation; probability; quantum computing; d valued qudits; multivalued QPE algorithm; multivalued quantum logic; quantum algorithms; quantum circuit; quantum phase estimation; single qudit operations; success probability; Algorithm design and analysis; Approximation algorithms; Computers; Logic gates; Quantum computing; Registers; Tensile stress; Multivalued Logic (MVL); Quantum Phase Estimation (QPE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multiple-Valued Logic (ISMVL), 2011 41st IEEE International Symposium on
  • Conference_Location
    Tuusula
  • ISSN
    0195-623X
  • Print_ISBN
    978-1-4577-0112-2
  • Electronic_ISBN
    0195-623X
  • Type

    conf

  • DOI
    10.1109/ISMVL.2011.47
  • Filename
    5954237