Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Letter
  • Open Access

Bounding the finite-size error of quantum many-body dynamics simulations

Zhiyuan Wang1,2,*, Michael Foss-Feig3, and Kaden R. A. Hazzard1,2

  • 1Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
  • 2Rice Center for Quantum Materials, Rice University, Houston, Texas 77005, USA
  • 3Honeywell Quantum Solutions, 303 S. Technology Ct., Broomfield, Colorado 80021, USA

  • *zhiyuan.wang@rice.edu

Phys. Rev. Research 3, L032047 – Published 16 August, 2021

DOI: https://doi.org/10.1103/PhysRevResearch.3.L032047

Abstract

Finite-size errors (FSEs), the discrepancies between an observable in a finite system and in the thermodynamic limit, are ubiquitous in numerical simulations of quantum many-body systems. Although a rough estimate of these errors can be obtained from a sequence of finite-size results, a strict, quantitative bound on the magnitude of FSE is still missing. Here we derive rigorous upper bounds on the FSE of local observables in real-time quantum dynamics simulations initialized from a product state. In d-dimensional locally interacting systems with a finite local Hilbert space, our bound implies |〈Ŝ(t)〉L−〈Ŝ(t)〉∞|≤C(2vt/L)cL−μ, with v, C, c, μ constants independent of L and t, which we compute explicitly. For periodic boundary conditions (PBCs), the constant c is twice as large as that for open boundary conditions (OBCs), suggesting that PBCs have smaller FSEs than OBCs at early times. The bound can be generalized to a large class of correlated initial states as well. As a byproduct, we prove that the FSE of local observables in ground-state simulations decays exponentially with L under a suitable spectral gap condition. Our bounds are practically useful in determining the validity of finite-size results, as we demonstrate in simulations of the one-dimensional (1D) quantum Ising and Fermi-Hubbard models.

View figure in article

Physics Subject Headings (PhySH)

Article Text

Supplemental Material

References (97)

  1. N. Laflorencie and D. Poiblanc, Simulations of pure and doped low-dimensional spin-1/2 gapped systems, in Quantum Magnetism. Lecture Notes in Physics (Springer-Verlag, Berlin, Heidelberg, 2004).
  2. R. M. Noack and S. R. Manmana, Diagonalization- and numerical renormalization-group-based methods for interacting quantum systems, in Lectures on the Physics of Highly Correlated Electron Systems IX: Ninth Training Course in the Physics of Correlated Electron Systems and High-Tc Superconductors, edited by A. Avella and F. Mancini, AIP Conf. Proc. No. 789 (AIP, New York, 2005), p. 93.
  3. A. W. Sandvik, Computational studies of quantum spin systems, in Lectures on the Physics of Strongly Correlated Systems XIV: Fourteenth Training Course in the Physics of Strongly Correlated Systems, edited by A. Avella and F. Mancini, AIP Conf. Proc. No. 1297 (AIP, New York, 2010), p. 135.
  4. A. Läuchli, Numerical simulations of frustrated systems, in Introduction to Frustrated Magnetism: Materials, Experiments, Theory (Springer, Berlin, Heidelberg, 2011), pp. 481–511.
  5. Reaching even these system sizes is possible only if internal, translation, and point group symmetries are utilized, and if state-of-the-art algorithms and large-scale computational resources are employed. Researchers usually employ much smaller systems for computational convenience.
  6. S. R. White, Density Matrix Formulation for Quantum Renormalization Groups, Phys. Rev. Lett. 69, 2863 (1992).
  7. K. A. Hallberg, New trends in density matrix renormalization, Adv. Phys. 55, 477 (2006).
  8. U. Schollwöck, The density-matrix renormalization group in the age of matrix product states, Ann. Phys. 326, 96 (2011).
  9. E. M. Stoudenmire and S. R. White, Studying two-dimensional systems with the density matrix renormalization group, Annu. Rev. Condens. Matter Phys. 3, 111 (2012).
  10. D. Perez-Garcia, F. Verstraete, M. M. Wolf, and J. I. Cirac, Matrix product state representations, Quantum Inf. Comput. 7, 401 (2007).
  11. R. Orús, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349, 117 (2014).
  12. C. Bartsch and J. Gemmer, Dynamical Typicality of Quantum Expectation Values, Phys. Rev. Lett. 102, 110403 (2009).
  13. T. A. Elsayed and B. V. Fine, Regression Relation for Pure Quantum States and Its Implications for Efficient Computing, Phys. Rev. Lett. 110, 070404 (2013).
  14. R. Steinigeweg, A. Khodja, H. Niemeyer, C. Gogolin, and J. Gemmer, Pushing the Limits of the Eigenstate Thermalization Hypothesis Towards Mesoscopic Quantum Systems, Phys. Rev. Lett. 112, 130403 (2014).
  15. R. Steinigeweg, J. Gemmer, and W. Brenig, Spin-Current Autocorrelations from Single Pure-State Propagation, Phys. Rev. Lett. 112, 120601 (2014).
  16. R. Steinigeweg, F. Heidrich-Meisner, J. Gemmer, K. Michielsen, and H. De Raedt, Scaling of diffusion constants in the spin-12 XX ladder, Phys. Rev. B 90, 094417 (2014).
  17. Quantum Monte Carlo Methods in Physics and Chemistry, edited by M. P. Nightingale and C. J. Umrigar (Springer, Netherlands, 1999).
  18. A. M. Childs, D. Maslov, Y. Nam, N. J. Ross, and Y. Su, Toward the first quantum simulation with quantum speedup, Proc. Natl. Acad. Sci. 115, 9456 (2018).
  19. I. Bloch, J. Dalibard, and S. Nascimbène, Quantum simulations with ultracold quantum gases, Nat. Phys. 8, 267 (2012).
  20. R. Blatt and C. F. Roos, Quantum simulations with trapped ions, Nat. Phys. 8, 277 (2012).
  21. E. Altman, K. R. Brown, G. Carleo, L. D. Carr, E. Demler, C. Chin, B. DeMarco, S. E. Economou, M. A. Eriksson, Kai-Mei C. Fu, M. Greiner, K. R.A. Hazzard, R. G. Hulet, A. J. Kollár, B. L. Lev, M. D. Lukin, R. Ma, X. Mi, S. Misra, C. Monroe et al., Quantum simulators: Architectures and opportunities, PRX Quantum 2, 017003 (2021).
  22. J. Bausch, T. S. Cubitt, A. Lucia, D. Perez-Garcia, and M. M. Wolf, Size-driven quantum phase transitions, Proc. Natl. Acad. Sci. USA 115, 19 (2018).
  23. J. Zeiher, R. van Bijnen, P. Schauß, S. Hild, J.-Y. Choi, T. Pohl, I. Bloch, and C. Gross, Many-body interferometry of a Rydberg-dressed spin lattice, Nat. Phys. 12, 1095 (2016).
  24. N. Takei, C. Sommer, C. Genes, G. Pupillo, H. Goto, K. Koyasu, H. Chiba, M. Weidemüller, and K. Ohmori, Direct observation of ultrafast many-body electron dynamics in an ultracold Rydberg gas, Nat. Commun. 7, 13449 (2016).
  25. H. Bernien, S. Schwartz, A. Keesling, H. Levine, A. Omran, H. Pichler, S. Choi, A. S. Zibrov, M. Endres, M. Greiner et al., Probing many-body dynamics on a 51-atom quantum simulator, Nature (London) 551, 579 (2017).
  26. E. Guardado-Sanchez, P. T. Brown, D. Mitra, T. Devakul, D. A. Huse, P. Schauß, and W. S. Bakr, Probing the Quench Dynamics of Antiferromagnetic Correlations in a 2D Quantum Ising Spin System, Phys. Rev. X 8, 021069 (2018).
  27. V. Lienhard, S. de Léséleuc, D. Barredo, T. Lahaye, A. Browaeys, M. Schuler, L.-P. Henry, and A. M. Läuchli, Observing the Space- and Time-Dependent Growth of Correlations in Dynamically Tuned Synthetic Ising Models with Antiferromagnetic Interactions, Phys. Rev. X 8, 021070 (2018).
  28. A. P. Orioli, A. Signoles, H. Wildhagen, G. Günter, J. Berges, S. Whitlock, and M. Weidemüller, Relaxation of an Isolated Dipolar-Interacting Rydberg Quantum Spin System, Phys. Rev. Lett. 120, 063601 (2018).
  29. B. Yan, S. A. Moses, B. Gadway, J. P. Covey, K. R. A. Hazzard, A. M. Rey, D. S. Jin, and J. Ye, Observation of dipolar spin-exchange interactions with lattice-confined polar molecules, Nature (London) 501, 521 (2013).
  30. K. R. A. Hazzard, B. Gadway, M. Foss-Feig, B. Yan, S. A. Moses, J. P. Covey, N. Y. Yao, M. D. Lukin, J. Ye, D. S. Jin, and A. M. Rey, Many-Body Dynamics of Dipolar Molecules in an Optical Lattice, Phys. Rev. Lett. 113, 195302 (2014).
  31. F. Seeßelberg, X.-Y. Luo, M. Li, R. Bause, S. Kotochigova, I. Bloch, and C. Gohle, Extending Rotational Coherence of Interacting Polar Molecules in a Spin-Decoupled Magic Trap, Phys. Rev. Lett. 121, 253401 (2018).
  32. S. Smale, P. He, B. A. Olsen, K. G. Jackson, H. Sharum, S. Trotzky, J. Marino, A. M. Rey, and J. H. Thywissen, Observation of a transition between dynamical phases in a quantum degenerate Fermi gas, Sci. Adv. 5, eaax1568 (2019).
  33. A. de Paz, A. Sharma, A. Chotia, E. Marechal, J. H. Huckans, P. Pedri, L. Santos, O. Gorceix, L. Vernac, and B. Laburthe-Tolra, Nonequilibrium Quantum Magnetism in a Dipolar Lattice Gas, Phys. Rev. Lett. 111, 185305 (2013).
  34. C. Meldgin, U. Ray, P. Russ, D. Chen, D. M. Ceperley, and B. DeMarco, Probing the Bose glass-superfluid transition using quantum quenches of disorder, Nat. Phys. 12, 646 (2016).
  35. J.-Y. Choi, S. Hild, J. Zeiher, P. Schauß, A. Rubio-Abadal, T. Yefsah, V. Khemani, D. A. Huse, I. Bloch, and C. Gross, Exploring the many-body localization transition in two dimensions, Science 352, 1547 (2016).
  36. P. Bordia, H. Lüschen, S. Scherg, S. Gopalakrishnan, M. Knap, U. Schneider, and I. Bloch, Probing Slow Relaxation and Many-Body Localization in Two-Dimensional Quasiperiodic Systems, Phys. Rev. X 7, 041047 (2017).
  37. L. Gabardos, B. Zhu, S. Lepoutre, A. M. Rey, B. Laburthe-Tolra, and L. Vernac, Relaxation of the Collective Magnetization of a Dense 3D Array of Interacting Dipolar s=3 Atoms, Phys. Rev. Lett. 125, 143401 (2020).
  38. A. Goban, R. B. Hutson, G. E. Marti, S. L. Campbell, M. A. Perlin, P. S. Julienne, J. P. D'Incao, A. M. Rey, and J. Ye, Emergence of multi-body interactions in a fermionic lattice clock, Nature (London) 563, 369 (2018).
  39. J. Eisert, M. Friesdorf, and C. Gogolin, Quantum many-body systems out of equilibrium, Nat. Phys. 11, 124 (2015).
  40. R. Nandkishore and D. A. Huse, Many-body localization and thermalization in quantum statistical mechanics, Annu. Rev. Condens. Matter Phys. 6, 15 (2015).
  41. D. J. Luitz, N. Laflorencie, and F. Alet, Extended slow dynamical regime close to the many-body localization transition, Phys. Rev. B 93, 060201(R) (2016).
  42. D. J. Luitz and Y. B. Lev, The ergodic side of the many-body localization transition, Ann. Phys. (Berlin) 529, 1600350 (2017).
  43. S. A. Parameswaran and R. Vasseur, Many-body localization, symmetry and topology, Rep. Prog. Phys. 81, 082501 (2018).
  44. T. Mori, T. N. Ikeda, E. Kaminishi, and M. Ueda, Thermalization and prethermalization in isolated quantum systems: A theoretical overview, J. Phys. B 51, 112001 (2018).
  45. C.-M. Schmied, A. N. Mikheev, and T. Gasenzer, Non-thermal fixed points: Universal dynamics far from equilibrium, Int. J. Mod. Phys. A 34, 1941006 (2019).
  46. J. Simon, W. S. Bakr, R. Ma, M. E. Tai, P. M. Preiss, and M. Greiner, Quantum simulation of antiferromagnetic spin chains in an optical lattice, Nature (London) 472, 307 (2011).
  47. S. Bravyi, M. B. Hastings, and F. Verstraete, Lieb-Robinson Bounds and the Generation of Correlations and Topological Quantum Order, Phys. Rev. Lett. 97, 050401 (2006).
  48. M. B. Hastings, Locality in quantum systems, arXiv:1008.5137.
  49. E. H. Lieb and D. W. Robinson, The finite group velocity of quantum spin systems, Commun. Math. Phys. 28, 251 (1972).
  50. T. J. Osborne, Efficient Approximation of the Dynamics of One-Dimensional Quantum Spin Systems, Phys. Rev. Lett. 97, 157202 (2006).
  51. T. J. Osborne, Simulating adiabatic evolution of gapped spin systems, Phys. Rev. A 75, 032321 (2007).
  52. T. J. Osborne, Ground state of a class of noncritical one-dimensional quantum spin systems can be approximated efficiently, Phys. Rev. A 75, 042306 (2007).
  53. M. Kliesch, C. Gogolin, and J. Eisert, Lieb-Robinson bounds and the simulation of time-evolution of local observables in lattice systems, in Many-Electron Approaches in Physics, Chemistry and Mathematics (Springer International Publishing, Switzerland, 2014), pp. 301–318.
  54. M. P. Woods, M. Cramer, and M. B. Plenio, Simulating Bosonic Baths with Error Bars, Phys. Rev. Lett. 115, 130401 (2015).
  55. M. P. Woods and M. B. Plenio, Dynamical error bounds for continuum discretisation via Gauss quadrature rules–a Lieb-Robinson bound approach, J. Math. Phys. 57, 022105 (2016).
  56. J. Haah, M. Hastings, R. Kothari, and G. H. Low, Quantum algorithm for simulating real time evolution of lattice Hamiltonians, in 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) (IEEE, New York, 2018), pp. 350–360.
  57. M. C. Tran, A. Y. Guo, Y. Su, J. R. Garrison, Z. Eldredge, M. Foss-Feig, A. M. Childs, and A. V. Gorshkov, Locality and Digital Quantum Simulation of Power-Law Interactions, Phys. Rev. X 9, 031006 (2019).
  58. Y. Huang, Computing local properties in the trivial phase, arXiv:2001.10763.
  59. C. B. Dağ and K. Sun, Dynamical crossover in the transient quench dynamics of short-range transverse-field Ising models, Phys. Rev. B 103, 214402 (2021).
  60. M. Cramer, A. Flesch, I. P. McCulloch, U. Schollwöck, and J. Eisert, Exploring Local Quantum Many-Body Relaxation by Atoms in Optical Superlattices, Phys. Rev. Lett. 101, 063001 (2008).
  61. T. Enss and J. Sirker, Light cone renormalization and quantum quenches in one-dimensional Hubbard models, New J. Phys. 14, 023008 (2012).
  62. S. Trotzky, Y.-A. Chen, A. Flesch, I. P. McCulloch, U. Schollwöck, J. Eisert, and I. Bloch, Probing the relaxation towards equilibrium in an isolated strongly correlated one-dimensional bose gas, Nat. Phys. 8, 325 (2012).
  63. A. Bauer, F. Dorfner, and F. Heidrich-Meisner, Temporal decay of Néel order in the one-dimensional Fermi-Hubbard model, Phys. Rev. A 91, 053628 (2015).
  64. C.-F. Chen and A. Lucas, Operator growth bounds from graph theory, Commun. Math. Phys. 385, 1273 (2021).
  65. Z. Wang and K. R. A. Hazzard, Tightening the Lieb-Robinson bound in locally interacting systems, PRX Quantum 1, 010303 (2020).
  66. D. Iyer, M. Srednicki, and M. Rigol, Optimization of finite-size errors in finite-temperature calculations of unordered phases, Phys. Rev. E 91, 062142 (2015).
  67. While the fact that the error bound for PBCs is smaller than that for OBCs does not necessarily imply that the actual FSE in PBC is smaller, in the Supplemental Material [75] we use short-time perturbative arguments to show that the actual error in PBC is indeed smaller at early times for most initial product states.
  68. M. B. Hastings and T. Koma, Spectral gap and exponential decay of correlations, Commun. Math. Phys. 265, 781 (2006).
  69. P. Richerme, Z.-X. Gong, A. Lee, C. Senko, J. Smith, M. Foss-Feig, S. Michalakis, A. V. Gorshkov, and C. Monroe, Non-local propagation of correlations in quantum systems with long-range interactions, Nature (London) 511, 198 (2014).
  70. Z.-X. Gong, M. Foss-Feig, S. Michalakis, and A. V. Gorshkov, Persistence of Locality in Systems with Power-Law Interactions, Phys. Rev. Lett. 113, 030602 (2014).
  71. M. Foss-Feig, Z.-X. Gong, C. W. Clark, and A. V. Gorshkov, Nearly Linear Light Cones in Long-Range Interacting Quantum Systems, Phys. Rev. Lett. 114, 157201 (2015).
  72. C.-F. Chen and A. Lucas, Finite Speed of Quantum Scrambling with Long Range Interactions, Phys. Rev. Lett. 123, 250605 (2019).
  73. T. Kuwahara and K. Saito, Strictly Linear Light Cones in Long-Range Interacting Systems of Arbitrary Dimensions, Phys. Rev. X 10, 031010 (2020).
  74. M. C. Tran, C.-F. Chen, A. Ehrenberg, A. Y. Guo, A. Deshpande, Y. Hong, Z.-X. Gong, A. V. Gorshkov, and A. Lucas, Hierarchy of Linear Light Cones with Long-Range Interactions, Phys. Rev. X 10, 031009 (2020).
  75. See Supplemental Material at https://link.aps.org/supplemental/10.1103/PhysRevResearch.3.L032047 for the comparison of the error bounds to perturbation theory at early times, the derivation of the PBC error bound in Eq. (6), and the detailed proof of Eqs. (7) and (9). The PBC error bound Eq. (6) is derived from an important intermediate result Eq. (S18), for which we introduce three different methods to bound its right-hand side. The numerically tightest one is given in Eq. (S20), a more efficiently computable one is given in Eq. (S39), and the constants for the simplest one Eq. (6) are given in Eqs. (S52), (S53), and (S55). The PBC error bound for TFIM in Eq. (11) is derived in Eqs. (S22-S25), and the OBC error bound for FHM is obtained by numerically summing the series in Eq. (S19) on the CG shown in Figure S2.
  76. For translation invariant MPS with a finite bond dimension, ρ̂L can be taken as the L-site periodic version of ρ̂. That ρ̂L satisfies the condition in Eq. (7) can be proved using the transfer operator method which is used to prove that MPS has finite correlation length, see, e.g., Refs. [8, 10, 11]. The parameter 2ξ can simply be taken as the correlation length of the MPS.
  77. M. Kliesch, C. Gogolin, M. J. Kastoryano, A. Riera, and J. Eisert, Locality of Temperature, Phys. Rev. X 4, 031019 (2014).
  78. M. Vojta, Quantum phase transitions, Rep. Prog. Phys. 66, 2069 (2003).
  79. S. Sachdev, Quantum Phase Transitions, 2nd ed. (Cambridge University Press, New York, 2011).
  80. R. Coldea, D. A. Tennant, E. M. Wheeler, E. Wawrzynska, D. Prabhakaran, M. Telling, K. Habicht, P. Smeibidl, and K. Kiefer, Quantum criticality in an Ising chain: Experimental evidence for emergent E8 symmetry, Science 327, 177 (2010).
  81. H. Labuhn, D. Barredo, S. Ravets, S. De Léséleuc, T. Macrì, T. Lahaye, and A. Browaeys, Tunable two-dimensional arrays of single Rydberg atoms for realizing quantum Ising models, Nature (London) 534, 667 (2016).
  82. A. Friedenauer, H. Schmitz, J. T. Glueckert, D. Porras, and T. Schätz, Simulating a quantum magnet with trapped ions, Nat. Phys. 4, 757 (2008).
  83. K. Kim, M.-S. Chang, S. Korenblit, R. Islam, E. E. Edwards, J. K. Freericks, G.-D. Lin, L.-M. Duan, and C. Monroe, Quantum simulation of frustrated Ising spins with trapped ions, Nature (London) 465, 590 (2010).
  84. K. Kim, S. Korenblit, R. Islam, E. E. Edwards, M. S. Chang, C. Noh, H. Carmichael, G. D. Lin, L. M. Duan, C. C. J. Wang et al., Quantum simulation of the transverse Ising model with trapped ions, New J. Phys. 13, 105003 (2011).
  85. B. P. Lanyon, C. Hempel, D. Nigg, M. Müller, R. Gerritsma, F. Zähringer, P. Schindler, J. T. Barreiro, M. Rambach, G. Kirchmair et al., Universal digital quantum simulation with trapped ions, Science 334, 57 (2011).
  86. J. W. Britton, B. C. Sawyer, A. C. Keith, C.-C. J. Wang, J. K. Freericks, H. Uys, M. J. Biercuk, and J. J. Bollinger, Engineered two-dimensional Ising interactions in a trapped-ion quantum simulator with hundreds of spins, Nature (London) 484, 489 (2012).
  87. R. Barends, A. Shabani, L. Lamata, J. Kelly, A. Mezzacapo, U. Las Heras, R. Babbush, A. G. Fowler, B. Campbell, Yu Chen et al., Digitized adiabatic quantum computing with a superconducting circuit, Nature (London) 534, 222 (2016).
  88. R. Harris, Y. Sato, A. J. Berkley, M. Reis, F. Altomare, M. H. Amin, K. Boothby, P. Bunyk, C. Deng, C. Enderud et al., Phase transitions in a programmable quantum spin glass simulator, Science 361, 162 (2018).
  89. J. Dziarmaga, Dynamics of a Quantum Phase Transition: Exact Solution of the Quantum Ising Model, Phys. Rev. Lett. 95, 245701 (2005).
  90. V. I. Anisimov, J. Zaanen, and O. K. Andersen, Band theory and Mott insulators: Hubbard U instead of Stoner I, Phys. Rev. B 44, 943 (1991).
  91. T. Esslinger, Fermi-Hubbard physics with atoms in an optical lattice, Annu. Rev. Condens. Matter Phys. 1, 129 (2010).
  92. M. F. Parsons, A. Mazurenko, C. S. Chiu, G. Ji, D. Greif, and M. Greiner, Site-resolved measurement of the spin-correlation function in the Fermi-Hubbard model, Science 353, 1253 (2016).
  93. M. Boll, T. A. Hilker, G. Salomon, A. Omran, J. Nespolo, L. Pollet, I. Bloch, and C. Gross, Spin-and density-resolved microscopy of antiferromagnetic correlations in Fermi-Hubbard chains, Science 353, 1257 (2016).
  94. A. Mazurenko, C. S. Chiu, G. Ji, M. F. Parsons, M. Kanász-Nagy, R. Schmidt, F. Grusdt, E. Demler, D. Greif, and M. Greiner, A cold-atom Fermi-Hubbard antiferromagnet, Nature (London) 545, 462 (2017).
  95. P. T. Brown, D. Mitra, E. Guardado-Sanchez, R. Nourafkan, A. Reymbaut, C.-D. Hébert, S. Bergeron, A.-M. S. Tremblay, J. Kokalj, D. A. Huse et al., Bad metallic transport in a cold atom Fermi-Hubbard system, Science 363, 379 (2019).
  96. N. Schlünzen, J.-P. Joost, F. Heidrich-Meisner, and M. Bonitz, Nonequilibrium dynamics in the one-dimensional Fermi-Hubbard model: Comparison of the nonequilibrium Green-functions approach and the density matrix renormalization group method, Phys. Rev. B 95, 165139 (2017).
  97. D. Pertot, A. Sheikhan, E. Cocchi, L. A. Miller, J. E. Bohn, M. Koschorreck, M. Köhl, and C. Kollath, Relaxation Dynamics of a Fermi Gas in an Optical Superlattice, Phys. Rev. Lett. 113, 170403 (2014).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation