strongly correlated materials made out of ultra cold atoms
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Strongly Correlated Materials made out of Ultra Cold Atoms Tin-Lun Ho The Ohio State University PSM2010 Yokohama, Japan, March 11, 2010 Ho and Zhou, PNAS 2009 (cooling scheme using band insulator) Ho and Zhou, Nature physics 2010


  1. Strongly Correlated “Materials” made out of Ultra Cold Atoms Tin-Lun Ho The Ohio State University PSM2010 Yokohama, Japan, March 11, 2010

  2. Ho and Zhou, PNAS 2009 (cooling scheme using band insulator) Ho and Zhou, Nature physics 2010 (deducing bulk properties from trap data) Zhou and Ho: universal thermometry (cond-mat/09) Ho and Zhou: Universal cooling scheme (cond-mat/09) Ho and Li: Quantum Hall Needles in Synthetic Gauge Fields (to be published)

  3. Great interests in strongly correlated soon after discovery of BEC Systems being studied in various labs at present : Strongly Interacting Fermi (and Bose) gases Low D quantum Gases, disordered quantum gases Bosonic Quantum Hall states Optical Lattice Emulator Expt: Munich, MIT, Rice, ETH, NIST, UIUC, Penn State Spin-1 Boson singlet ENS, Paris Diploar gases

  4. Quantum Simulation: Most ambitious project in cold atoms ever * To find solutions to unsolved problems/models * As a calibration for theories.

  5. Main Challenge in QS Very small energy scales in Ultra low T this regime 10  12  10  14 K Very low S/N How to obtain information of bulk systems from Data of trapped gases ? Quantum Many-body precision measurement

  6. Part I: Quantum Simulation via Optical Lattice Emulator

  7. Optical lattice Produced by a pair of counter propagating laser

  8. Observation of Superfluid-insulator transition superfluid Mott Figure 2 Absorption images of multiple matter wave interference patterns. These were obtained after suddenly releasing the atoms from an optical lattice potential with different potential depths V 0 after a time of flight of 15 ms. Values of V 0 were: a , 0 E r ; b , 3 E r ; c , 7 E r ; d , 10 E r ; e , 13 E r ; f , 14 E r ; g , 16 E r ; and h , 20 E r . M. Greiner et.al, Nature 415, 39 (2002) M. Greiner, O. Mandel. Theodor, W. Hansch & I. Bloch,Nature (2002)

  9. Typical density profile in an optical lattice : r Wedding cake structure n(r) 0

  10. Relevant energy scales: Band gap Hopping Virtual hopping Strong correlation! Boson Fermion

  11. 87 Rb 40 K

  12. evaporation I: Conventional evaporation fails. Source of difficulty

  13. Current methods of achieving strongly correlated states: Raising the optical lattice in a trapped gas:

  14. Even if evaporation works, there is another difficulty. T  T c Spin disordered Mott insulator 1 k B /sec

  15. Part I : To realize the full power of quantum simulation

  16. Bulk thermodynamic properties of interest: n  n (  , T ) Equation of state  phase boundary s  s (  , T ) Entropy density  s   s (  , T ) Superfluid density  T (  , T )   n (  , T ) Compressibility  Spin susceptibility m  ˜ (  , T ) Staggered magnetization ˜ m

  17. Simplest example: Equation of state n  n (  , T ) Q ( r )  Q (   V ( r Local density approximation (LDA) : r r ))  •LDA is valid for N>50 in typical traps n ( r ) r If LDA works, then the experimental data immediately gives  n (  , T ) n ( r )  n (  ( r r ), T )  n o (   V ( r r r ), T )  Density of trapped gas Density of homogenous system

  18. Presence of phase transition: boundary: P I (  , T )  P II (  , T ) dP  nd   sdT II I n s First order transition: , discontinuous Continuous transition: change of slope in  n  s ,   T n ( r r )  n , s  ( r ) r r 1 st order Continuous transitions

  19. Essential step of this procedure : •high quality density data  •Accurate determination of and T Use the tail of the density or number fluctuation At the surface, density is low, can do fugacity expansion n (  x )   e (   V (  x )) / T /  3   e (   V (    r )) / T ( x , y )   T column  ˜ n      2 density 

  20. s  s (  s  s (  , T ) r ) III. Entropy Density    s   P T Need two configurations of different      T   Compare them at the same  dP  nd  dP  nd   sdT P '( x ,0,0)  P (  '( x ), T ')  ' T '  '  T  P ( x ,0,0)  P (  ( x ), T )

  21. s ( x ,0,0)  P '( x ',0,0)  P ( x ,0,0) T '  T  '( x ')   ( x ) 2 M  2 x 2   '  1  ( x )    1 2 M  ' 2 x ' 2   '( x ')

  22. Superfluid density: n s P  P ( T ,  o ,  w    s   For a superfluid w ) v v   n  z   w  d   dP  nd  o  sdT  Mn s n   ˆ w v x        n  n s   M       w 2   o   2  o , T w 2 , T Spatial changes in  changes in with respect to rotation n s n

  23. Exploring the thermodynamics of a universal Fermi gas 3D Fermi gas (infinite S. Nascimbene, N. Navon, K. Jiang, F. Chevy, C. Salomon Scattering length) arXiv: 0911.0747 Measurement of Universal Thermodynamic Functions for a Unitary Fermi Gas, Munekazu Horikoshi,1* Shuta Nakajima,2 Masahito Ueda,1,2 Takashi Mukaiyama1,3 Apply the algorithm of Ho and Zhou Science, 442, vol 327, (2010)

  24. In-situ Observation of Incompressible Mott-Insulating Domains of Ultracold Atomic Gases Nathan Gemelke, Xibo Zhang, Chen-Lung Hung, and Cheng Chin Nature 460, 995 (2009) Advantage of Cs in 2D lattice : low lattice depth, large lattice constant

  25. Estimate of T based on number fluctuation, and Determination of phase diagram T  N   N 2    N  2

  26. Cheng Chin et.al

  27. Spin-Imbalance in a One-Dimensional Fermi Gas , Yean-an Liao, Ann Sophie C. Rittner, Tobias Paprotta, Wenhui Li, Guthrie B. Partridge, Randall G. Hulet, Stefan K. Baur & Erich J. Mueller arXiv.0912.0092

  28. arXiv: 0908.0174

  29. Part II : Entropy removal

  30. Typical configurations of Lattice Fermions in a trap U  T  J T  100 nK Band insulator Mott insulator n ( r ) Spin disordered Particle doped Hole doped

  31. Esslinger, et.al, 2008 Science n ( r ) Bloch, et.al 2008 T  t  t 2 / U ~ t 2 / U  T ~

  32. Density and entropy distribution Band insulator n ( r ) Mott insulator r / d s ( r ) ln3  1.1 ln2  0.69 r / d (spin-1, ln3)

  33. Squeezing entropy to surfact Compression of trap Adiabaticity Temperature increase

  34. Isothermal compression => Entropy reduction

  35. From Band insulator to Mott insulator: Turn down the lattice adiabatically Band insulator s ( r ) n ( r ) 2 S / N  0.016 40nK Mott insulator n ( r ) 1 r / d s ( r ) T<<40nK Ln2 r / d

  36. Summary of our Cooling Strategy: 1. Can use a gapful phase of the system to push out the entropy out from the bulk 2. Remove the entropy by pushing it into a BEC Or by evaporation.. But 3. Always tighten the trap immediately to stop entropy regeneration

  37. Summary: Quantum Simulation Program => Lowest temperature regime ever achieved Quantum Many-body precision Measurement

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