| Literature DB >> 28154422 |
Yunrong Luo1,2, Kuo Hai1,2, Mingliang Zou1, Wenhua Hai3,4.
Abstract
We use three bosons held in a depth-tilt combined-modulated double-well to study coherent control of quantum transitions between quasi-degenerate stationary-like states (QDSLSs) with the same quasienergy. Within the high-frequency approximation and for multiple-resonance conditions, we analytically obtain the different QDSLSs including the maximal bipartite entangled states, which enable us to manipulate the transitions between QDSLSs without the observable multiphoton absorption and to simulate a two-qubit system with the considered bosons. The analytical results are confirmed numerically and good agreement is shown. The quantum transitions between QDSLSs can be observed and controlled by adjusting the initial and the final atomic distributions in the currently proposed experimental setup, and possess potential applications in qubit control based on the bipartite entangled states and in engineering quantum dynamics for quantum information processing.Entities:
Year: 2017 PMID: 28154422 PMCID: PMC5428370 DOI: 10.1038/s41598-017-00041-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1The renormalized coupling coefficients η as functions of the driving parameter 2ε 1/ω for ω = 20, Ω0 = 1, n = 1 and (a) m = l = 1, Ω1 = 0.3; (b) m = l = 1, Ω1 = 1; (c) m = 1, l = −7, Ω1 = 1; (d) m = 2, l = 0, Ω1 = 0.3. By the points we mean the zero-points M = M (2ε 1/ω, η 1, η 2, η 3) of part η . Hereafter, any parameter adopted in the figures is dimensionless.
Figure 2Quasienergies as functions of the driving parameter, E = E (2ε 1/ω) for ω = 20, Ω0 = 1, m = n = 1 and (a) l = 1, Ω1 = 0.3; (b) l = 1, Ω1 = 1; (c) l = −7, Ω1 = 1. Hereafter, circles label the analytical results from Eq. (10) and solid curves denote the numerical correspondences, unless it is specially indicated.
Several control proposals of quantum transitions between QDSLSs for some initially fixed parameter sets (n, m, Ω).
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Figure 3Time evolutions of the transition probabilities from the initial SLS |ψ 03(t)〉 to other final SLSs for the parameters ω = 20, Ω0 = 1, n = 1, and (a) Ω1 = 0.3, m = l = 1, ε 1 = 0 (in the time intervals and ) and ε 1 = 2.5678ω (in interval ); (b) Ω1 = 1, m = 1, (l, ε 1) = (1, 0) (in ), (l, ε 1) = (1, 2.76ω) (in ), (l, ε 1) = (−7, 2.76ω) (in ); (c) Ω1 = 0.3, m = 2, ε 1 = 0.05ω, and l = 2 (in ), l = 0 (in ), l = −2 (in ); (d) Ω1 = 0.3, m = 2, (l, ε 1) = (2, 0.05ω) (in ), (l, ε 1) = (0, 0.05ω) (in ), (l, ε 1) = (0, 2.64ω) (in ). Hereafter, the big circular points (online black), small circular points (online orange), thick dashed line (online green) and thin dashed line (online purple) label the analytical results of probabilities P 0, P 1, P 2, P 3, respectively, and the solid curves denote the numerical correspondences.
Figure 4Time evolutions of the transition probabilities from the initial SLS |ψ 12(t)〉 to other final SLSs. (a) The parameters are the same as those of Fig. 3(a); (b) The parameters are the same as those of Fig. 3(a) except for Ω1 = 0.6, and (l, ε 1) obeying (l, ε 1) = (1, 1.2025ω) in , (l, ε 1) = (−4, 1.2025ω) in ; (c) The parameters are the same as those of Fig. 3(a) except for Ω1 = 0.5, and (l, ε 1) obeying (l, ε 1) = (1, ω) in , (l, ε 1) = (−3, ω) in .
Figure 5Temporal sequences of the time-dependent bias ε(t) with the parameters of Fig. 5(a,b,c,d) being the same as those of Fig. 3(a,b,c,d), respectively, in the corresponding time intervals. The insets indicate the evolution details around several operation times. In (a), the driving of amplitude ε 1 = 2.5678ω is continuously added to the constant bias ε 0 = 1ω. In (b,c and d), the static bias is adjusted between the discrete values[6], which leads to discontinuous changes of ε(t).