1975
DOI: 10.1109/tit.1975.1055351
|View full text |Cite
|
Sign up to set email alerts
|

Optimum testing of multiple hypotheses in quantum detection theory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

9
479
0

Year Published

1978
1978
2014
2014

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 458 publications
(488 citation statements)
references
References 15 publications
9
479
0
Order By: Relevance
“…This problem may be roughly described in this manner [1,2,3,4,5,6]: Suppose that a transmitter, Alice, wants to convey classical information to a receiver, Bob, using a quantum channel, and Alice represents the message conveyed as a mixed quantum state that, with given prior probabilities, belongs to a finite set of mixed quantum states, say {ρ 1 , ρ 2 , . .…”
Section: Introductionmentioning
confidence: 99%
“…This problem may be roughly described in this manner [1,2,3,4,5,6]: Suppose that a transmitter, Alice, wants to convey classical information to a receiver, Bob, using a quantum channel, and Alice represents the message conveyed as a mixed quantum state that, with given prior probabilities, belongs to a finite set of mixed quantum states, say {ρ 1 , ρ 2 , . .…”
Section: Introductionmentioning
confidence: 99%
“…The first papers dealing with quantum statistical problems appeared in the seventies [23,56,55,6,24] and tackled issues such as quantum Cramér-Rao bounds for unbiased estimators, optimal estimation for families of states possessing a group symmetry, estimation of Gaussian states, optimal discrimination between non-commuting states. In recent years there has been a renewed interest in the field [21,22,36,5] and the advances in quantum engineering have led to the first practical implementations of theoretical methods [1,16,43].…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches have emerged to distinguishing between a collection of nonorthogonal quantum states. In one approach, a measurement is designed to minimize the probability of a detection error [1][2][3][4][5][6][7][8][9][10]. A more recent approach, referred to as unambiguous detection [11][12][13][14][15][16][17][18][19], is to design a measurement that with a certain probability returns an inconclusive result, but such that if the measurement returns an answer, then the answer is correct with probability 1.…”
Section: Introductionmentioning
confidence: 99%