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Experimental characterization of a quantum many-body system via higher-order correlations


Quantum systems can be characterized by their correlations1,2. Higher-order (larger than second order) correlations, and the ways in which they can be decomposed into correlations of lower order, provide important information about the system, its structure, its interactions and its complexity3,4. The measurement of such correlation functions is therefore an essential tool for reading, verifying and characterizing quantum simulations5. Although higher-order correlation functions are frequently used in theoretical calculations, so far mainly correlations up to second order have been studied experimentally. Here we study a pair of tunnel-coupled one-dimensional atomic superfluids and characterize the corresponding quantum many-body problem by measuring correlation functions. We extract phase correlation functions up to tenth order from interference patterns and analyse whether, and under what conditions, these functions factorize into correlations of lower order. This analysis characterizes the essential features of our system, the relevant quasiparticles, their interactions and topologically distinct vacua. From our data we conclude that in thermal equilibrium our system can be seen as a quantum simulator of the sine-Gordon model6,7,8,9,10, relevant for diverse disciplines ranging from particle physics to condensed matter11,12. The measurement and evaluation of higher-order correlation functions can easily be generalized to other systems and to study correlations of any other observable such as density, spin and magnetization. It therefore represents a general method for analysing quantum many-body systems from experimental data.

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Figure 1: Schematics of the experimental set-up.
Figure 2: Decomposition of the fourth-order phase correlation function G(4)(z, z).
Figure 3: Relative size of the fourth-order connected correlation function.
Figure 4: Full distribution functions and interference patterns of the phase.

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We acknowledge discussions with E. Demler and J. M. Pawlowski. This work was supported by the EU through the EU-FET Proactive grant AQuS, Project No. 640800 and the ERC advanced grant QuantumRelax, and by the Austrian Science Fund (FWF) through the doctoral programme CoQuS (W1210) (T.S., B.R. and F.C.) and the SFB-FoQuS. This work is in part supported by the SFB 1225 ‘ISOQUANT’ financed by the German Research Foundation (DFG) and the FWF. V.K. acknowledges support from the Max Planck Society through the doctoral programme IMPRS-QD. T.L. acknowledges support by the Alexander von Humboldt Foundation through a Feodor Lynen Research Fellowship. T.G. and J.B. acknowledge support by the University of Heidelberg (Center for Quantum Dynamics) and the Helmholtz Association (HA216/EMMI).

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Authors and Affiliations



T.S., B.R., F.C. and T.L. performed the experiment and the data analysis. S.E., V.K., T.S. and I.M. did the theoretical calculations. J.S., J.B. and T.G. provided scientific guidance in experimental and theoretical questions. All authors contributed to interpreting the data and writing the manuscript.

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Correspondence to Jörg Schmiedmayer.

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The authors declare no competing financial interests.

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Reviewer Information Nature thanks I. Spielman and the other anonymous reviewer(s) for their contribution to the peer review of this work.

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Extended data figures and tables

Extended Data Figure 1 Parameter dependence of phase locking in thermal sine-Gordon theory.

We use the experimental observable 〈cos(φ)〉 to quantify the phase locking in a direct and model-independent way. Its dependence on the dimensionless parameter q = λT/lJ (see Methods section ‘sine-Gordon model’) is displayed for the full sine-Gordon model (dashed green line) and for the quadratic Bogoliubov model (dashed-dotted grey line), obtained by expanding the cosine to second order and valid for large phase locking. To compare experiment and theory, the finite imaging resolution needs to be taken into account (solid green line). Some experimental parameters used in the main text are marked and connected to the respective values of q.

Source data

Extended Data Figure 2 Extraction of the relative phase φ(z).

a, The two superfluids (see Fig. 1) interfere in 16 ms time-of-flight. The picture shows the resultant interference pattern recorded through absorption imaging. The colour encodes the atomic density, with red corresponding to high density and blue to low density. b, For each z value, the x-dependent atomic density is fitted with a cosine function with a Gaussian envelope25; as an example, the fit for z = 0 (dash-dotted line in a) is shown. c, The fitted phase shift of the cosine function represents (at least approximately) the in situ phase φ(z) mod 2π between the two superfluids. d, Imposing continuity onto the phase profile (by shifting the local value of the phase by multiples of 2π) gives phase differences that are not restricted to the interval [−π, π). A global ambiguity of 2πn (where n is an integer) remains.

Extended Data Figure 3 Integral measures for the thermal equilibrium data (prepared by slow evaporative cooling).

a, Relative size of the Nth-order connected correlation function as quantified by the measure M(N) (equation (5)). b, Relative deviation from the Wick decomposition as quantified by the measure (equation (8); Methods). Both measures are plotted as a function of the phase-locking strength, which is quantified by 〈cos(φ)〉. The experimental data are plotted as red circles, with error bars representing 80% confidence intervals calculated using bootstrapping. The theoretical prediction for a large sample (105 numerical realizations) is given by the solid lines. The two lines and the shaded area in between represent the prediction for the maximum spread of the estimated experimental parameters. The green bars represent the theoretical predictions for the experimental sample sizes (typically around 1,000). The heights of the bars represent the 80% confidence intervals of the predictions and the width was chosen arbitrarily. The P values testing the null hypotheses of having Gaussian fluctuations (same sample sizes and same mean and covariance as in the experimental data) are marked as squares; values smaller than 0.02 are marked in orange, the rest in grey. See Methods for a detailed discussion of the plotted quantities and the statistical methods used.

Extended Data Figure 4 Integral measures for the rapidly cooled data.

As for Extended Data Fig. 3, but with the experimental data plotted as blue diamonds.

Extended Data Figure 5 Decomposition of the sixth-order phase correlation functions G(6)(z, z′).

ac, Uncoupled (〈cos(φ)〉 ≈ 0; a), intermediate (b) and strongly phase-locked (〈cos(φ)〉 ≈ 1; c) regimes. To visualize the high-dimensional data, we choose z3 = −z4 = 10 μm, z5 = − z6 = 20 μm and z = 0, which results in the observed symmetric crosses where the correlation function vanishes. The colour marks the value of the full, disconnected or connected correlation functions, or the difference between the full correlation functions and their Wick decompositions. Each row is normalized to its maximum absolute value such that the colour encodes the interval [−1, 1]. Although the connected part for 〈cos(φ)〉 = 0.92 is small, the deviation from the Wick decomposition is larger, in agreement with theory. Full Wick factorization requires even higher phase locking (see Extended Data Fig. 3).

Extended Data Figure 6 Decomposition of the eighth-order phase correlation functions G(8)(z, z).

As for Extended Data Fig. 5, but with z3 = −z4 = 10 μm, z5 = −z6 = 18 μm, z7 = −z8 = 24 μm and z = 0. The apparent failure of the Wick decomposition for the uncoupled case (〈cos(φ)〉 ≈ 0; top right) can be attributed to the finite sample size (see Extended Data Fig. 3 and discussion in Methods).

Extended Data Figure 7 Decomposition of the tenth-order phase correlation functions G(10)(z, z).

As for Extended Data Fig. 5, but with z3 = −z4 = 10 μm, z5 = −z6 = 15 μm, z7 = −z8 = 20 μm, z9 = −z10 = 24 μm and z = 0. The apparent failure of the Wick decomposition for the uncoupled case (〈cos(φ)〉 ≈ 0; top right) can be attributed to the finite sample size (see Extended Data Fig. 3 and discussion in Methods).

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Schweigler, T., Kasper, V., Erne, S. et al. Experimental characterization of a quantum many-body system via higher-order correlations. Nature 545, 323–326 (2017).

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