2012
DOI: 10.1103/physreva.85.053632
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Squeezing in driven bimodal Bose-Einstein condensates: Erratic driving versus noise

Abstract: We study the interplay of squeezing and phase randomization near the hyperbolic instability of a two-site Bose-Hubbard model in the Josephson interaction regime. We obtain results for the quantum Zeno suppression of squeezing far beyond the previously found short time behavior. More importantly, we contrast the expected outcome with the case where randomization is induced by erratic driving with the same fluctuations as the quantum noise source, finding significant differences. These are related to the distrib… Show more

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Cited by 5 publications
(24 citation statements)
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“…This term can be viewed as a fluctuating energy bias driving phase fluctuations. Here ( ) f t 3 is an erratic driving amplitude that we take as a Markovian random process with zero average and short correlation time [41],…”
Section: Number Conserving Noise (No Loss)mentioning
confidence: 99%
“…This term can be viewed as a fluctuating energy bias driving phase fluctuations. Here ( ) f t 3 is an erratic driving amplitude that we take as a Markovian random process with zero average and short correlation time [41],…”
Section: Number Conserving Noise (No Loss)mentioning
confidence: 99%
“…3 shows the dynamics of the single particle coherence under the influence of erratic driving. In contrast to the drive-free dynamics (5), the orientation of the wavepacket relative to the principal squeezing axes is not constant: the erratic driving randomizes this orientation on time scale t D = 1/(2D), resulting in angular diffusion [23]. The squeezing rate is no longer constant, thus Eq.…”
Section: Harmonic Driving -Kapitza Effectmentioning
confidence: 97%
“…Due to the growth of variance along the expanding axis of the squeezed Gaussian state, the one-particle coherence S decreases. Using a simple phase space picture, a good approximation for the loss of coherence is given by [23],…”
Section: Introductionmentioning
confidence: 99%
“…In the lower panel the evolution of a ϕ = π preparation is simulated in the presence of noise (thick black curve) and compared with noiseless evolution (orange curve). For more details see [14]. strated in the upper panel of Fig.3 using the Husimi representation.…”
Section: Quasi-stability Of An Unstable Preparationmentioning
confidence: 99%
“…The stability of such stationary state is due to the interaction. This presentation is based on [10][11][12][13][14][15][16] and further references therein [17].…”
Section: Introductionmentioning
confidence: 99%