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Volumn 69, Issue 6, 2004, Pages

Optimal quantum detectors for unambiguous detection of mixed states

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ERROR DETECTION; LAGRANGE MULTIPLIERS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; MATRIX ALGEBRA; MEASUREMENT THEORY; POLYNOMIALS; PROBABILITY; PROBLEM SOLVING; THEOREM PROVING; VECTORS;

EID: 4043144361     PISSN: 10502947     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevA.69.062318     Document Type: Article
Times cited : (70)

References (34)
  • 8
    • 85015795474 scopus 로고    scopus 로고
    • Y. C. Eldar, A. Megretski, and G. C. Verghese, e-print quant-ph/0211111
    • Y. C. Eldar, A. Megretski, and G. C. Verghese, e-print quant-ph/0211111.
  • 26
    • 4043072534 scopus 로고
    • Ph.D. thesis, University of Minnesota, Minneapolis, MN (unpublished)
    • F. Alizadeh, Ph.D. thesis, University of Minnesota, Minneapolis, MN 1991 (unpublished).
    • (1991)
    • Alizadeh, F.1
  • 33
    • 85015721336 scopus 로고    scopus 로고
    • note
    • i,1 ≤ i ≤ m}.
  • 34
    • 85015762011 scopus 로고    scopus 로고
    • note
    • Interior point methods are iterative algorithms that terminate once a prespecified accuracy has been reached. A worst-case analysis of interior point methods shows that the effort required to solve a semidefinite program to a given accuracy grows no faster than a polynomial of the problem size. In practice, the algorithms behave much better than predicted by the worst-case analysis, and in fact in many cases the number of iterations is almost constant in the size of the problem.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.