2018
DOI: 10.1103/physrevlett.120.173601
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Relaxation to a Phase-Locked Equilibrium State in a One-Dimensional Bosonic Josephson Junction

Abstract: We present an experimental study on the nonequilibrium tunnel dynamics of two coupled one-dimensional Bose-Einstein quasicondensates deep in the Josephson regime. Josephson oscillations are initiated by splitting a single one-dimensional condensate and imprinting a relative phase between the superfluids. Regardless of the initial state and experimental parameters, the dynamics of the relative phase and atom number imbalance shows a relaxation to a phase-locked steady state. The latter is characterized by a hig… Show more

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Cited by 109 publications
(165 citation statements)
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“…Such collapse of oscillations in the many-body dynamics of p(t) has been reported earlier also [49,50]. For a symmetric double well, such collapse of oscillations has recently been observed [71] in the oscillations of the population imbalance which is directly related to the survival probability, see appendix B.2. This makes a many-body calculation necessary for Λ0.1 for a system of N=1000 bosons.…”
Section: Survival Probabilitysupporting
confidence: 63%
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“…Such collapse of oscillations in the many-body dynamics of p(t) has been reported earlier also [49,50]. For a symmetric double well, such collapse of oscillations has recently been observed [71] in the oscillations of the population imbalance which is directly related to the survival probability, see appendix B.2. This makes a many-body calculation necessary for Λ0.1 for a system of N=1000 bosons.…”
Section: Survival Probabilitysupporting
confidence: 63%
“…x t N 0 , ρ(x, t) being the density of the system at time t. Another common quantity to characterize the density oscillations in experiments is the population imbalance [71] which is defined as = -( ) n t ; N N N L R N L,R being the atom numbers in the left (L) and the right (R) well at time t, respectively. Note that both p(t) and n(t) are closely related and have similar qualitative features as they both characterize the same density oscillations.…”
Section: B2 Physical Quantitiesmentioning
confidence: 99%
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“…We see that the distribution function is determined by the expectation value φ(0, t) , set by R(t) via (36), along with quadratic fluctuations α j and β j , determined by the covariance matrix |Q j (t)| 2 . The essential quantities R(t) and Q(t) are obtained by solving the nonlinear, self-consistent system of equations (33). The distribution function (40) can be conveniently sampled: one draws numbers α j and β j from a Gaussian distribution with covariance matrix |Q j (t)| 2 and computes the corresponding values of…”
Section: E Full Distribution Functions and Multipoint Correlation Fumentioning
confidence: 99%