2008
DOI: 10.1103/physrevlett.100.160503
|View full text |Cite
|
Sign up to set email alerts
|

Rapid Measurement of Quantum Systems Using Feedback Control

Abstract: We introduce a feedback control algorithm that increases the speed at which a measurement extracts information about a d-dimensional system by a factor that scales as d 2 . Generalizing this algorithm, we apply it to a register of n qubits and show an improvement O(n). We derive analytical bounds on the benefit provided by the feedback and perform simulations that confirm that this speedup is achieved.PACS numbers: 02.30Yy, Recently it has been shown that it is possible to increase the speed at which a measure… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
89
0

Year Published

2009
2009
2019
2019

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 42 publications
(91 citation statements)
references
References 18 publications
2
89
0
Order By: Relevance
“…Subsequent studies on rapid purification showed that the proposed protocol was optimal, in that it maximized the average rate of purification, but it did not minimize the time taken to reach a given level of purity [15]. Other work has generalized these results for different optimization conditions [16], N-level systems [17], practical implementation of the controls [18], shared entangled states [19], imperfections [20], inefficient detection [21], and mixed protocols [21,22]. In particular, Li et al demonstrated that when the efficiency of the detector is lower than 50%, there is no predicted speed up in purification rate [21].…”
Section: Introductionmentioning
confidence: 99%
“…Subsequent studies on rapid purification showed that the proposed protocol was optimal, in that it maximized the average rate of purification, but it did not minimize the time taken to reach a given level of purity [15]. Other work has generalized these results for different optimization conditions [16], N-level systems [17], practical implementation of the controls [18], shared entangled states [19], imperfections [20], inefficient detection [21], and mixed protocols [21,22]. In particular, Li et al demonstrated that when the efficiency of the detector is lower than 50%, there is no predicted speed up in purification rate [21].…”
Section: Introductionmentioning
confidence: 99%
“…It is well known, in particular, that open-system dynamics are instrumental in control tasks such as robust quantum state preparation and rapid purification, and both openloop and quantum feedback methods have been extensively investigated in this context [4][5][6][7][8], including recent extensions to engineered quantum memories [9] and 'pointer states' in the non-Markovian regime [10].…”
Section: Introductionmentioning
confidence: 99%
“…Quantum filtering consists in generating an estimate of the state of the system from the measurements performed on it. Measurement-based feedback has been shown to be efficient [166,167], making real-time control of quantum systems experimentally feasible [168,169].…”
Section: State Of the Artmentioning
confidence: 99%