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WORM ALGORITHM: LIQUID & SOLID HE-4 Nikolay Prokofiev, Umass, Amherst NASA RMBT14, Barcelona July 2007 Boris Svistunov, Umass, Amherst Massimo Boninsegni, UAlberta Matthias Troyer, ETH Lode Pollet, ETH Anatoly Kuklov, CSI CUNY Masha Ira
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Why bother with worm algorithm? PhD while still young New quantities to address physics Grand canonical ensemble Off-diagonal correlations condensate wave functions Winding numbers and Examples from: helium liquid & solid lattice bosons/spins, classical stat. mech. disordered systems, deconfined criticality, resonant fermions, polarons … Efficiency PhD while still young Better accuracy Large system size More complex systems Finite-size scaling Critical phenomena Phase diagrams
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Worm algorithm idea Consider: - configuration space = closed loops - each cnf. has a weight factor - quantity of interest NP, B. Svistunov, I. Tupitsyn, ‘97 P 1 2 P Feynman path integrals for What is the best updating strategy?
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“conventional” sampling scheme: local shape changeAdd/delete small loops can not evolve to No sampling of topological classes (non-ergodic) Critical slowing down (large loops are related to critical modes) dynamical critical exponent in many cases
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Worm algorithm idea draw and erase: Masha Ira or Masha Ira + keep drawing Masha All topologies are sampled (whatever you can draw!) No critical slowing down in most cases Disconnected loop is related to the off-diagonal correlation function and is not merely an algorithm trick! NP, B. Svistunov, I. Tupitsyn, ‘97 GC ensemble Green function winding numbers condensate wave func.,etc.
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(open/close update)
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(insert/remove update)
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(advance/recede update)
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(swap update)
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Path integrals + Feynman diagrams for ignore : stat. weight 1 Account for : stat. weight p statistical interpretation 10 times faster than conventional scheme, scalable (size independent) updates with exact account of interactions between all particles (no truncation radius)
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Grand-canonical calculations:, compressibility, phase separation, disordered/inhomogeneous systems, etc. Matsubara Green function: Probability density of Ira-Masha distance in space time Energy gaps/spectrum, quasi-particle Z-factors One-body density matrix, Cond. density particle “wave funct.” at Winding numbers: superfluid density Winding number exchange cycles maps of local superfluid response At the same CPU price as energy in conventional schemes!
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Ceperley, Pollock ‘89 “Vortex diameter” 2D He-4 superfluid density & critical temperature Critical temp.
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3D He-4 at P=0 superfluid density & critical temperature 64 2048 experiment Pollock, Runge ‘92 ?
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N=64 N=2048 3D He-4 at P=0 Density matrix & condensate fraction (Bogoliubov)
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3D He-4 liquid near the freezing point, T=0.25 K, N=800 Calculated from
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Weakly interacting Bose gas, pair product approximation; ( example) Ceperley, Laloe ‘97 Nho, Landau ‘04 discrepancy ! wrong number of slices (5 vs 15) underestimated error bars + too small system size Worm algorithm: Pilati, Giorgini, NP 100,000
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Solid (hcp) He-4 Density matrix near melting InsulatorExponential decay
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Solid (hcp) He-4 Green function melting density Large vacancy / interstitial gaps at all P InsulatorExponential decay in the solid phase Energy subtraction is not required!
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Supersolid He-4 “… ice cream” “… transparent honey”, … GB Ridge He-3 SF/SG A network of SF grain boundaries, dislocations, and ridges with superglass/superfluid pockets (if any). Dislocations network (Shevchenko state) at where All “ice cream ingredients” are confirmed to have superfluid properties Disl He-3 Frozen vortex tangle; relaxation time vs exp. timescale
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Supersolid phase of He-4 Is due to extended defects: metastable liquid grain boundaries screw dislocation, etc. Pinned atoms “physical” particles screw dislocation axis
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Supersolid phase of He-4 Is due to extended defects: metastable liquid grain boundaries screw dislocation, etc. Screw dislocation has a superfluid core: Maps of exchange cycles with non-zero winding number Top (z-axis) view Side (x-axis) view
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+ superfluid glass phase (metastable) anisotropic stress domain walls superfluid grain boundaries
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Lattice path-integrals for bosons/spins (continuous time) imaginary time lattice site imaginary time lattice site
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M I I I I M At one can simulate cold atom experimental system “as is” for as many as atoms!
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Classical models: Ising, XY, closed loops Ising model (WA is the best possible algorithm) Ira Masha
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I=M M I M M M Complete algorithm: - If, select a new site for at random - otherwise, propose to move in randomly selected direction Easier to implement then single-flip!
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Conclusions no critical slowing down Grand Canonical ensemble off-diagonal correlators superfluid density Worm Algorithm = extended configuration space Z+G all updated are local & through end points exclusively At no extra cost you get Continuous space path integrals Lattice systems of bosons/spins Classical stat. mech. ( the best method for the Ising model ! ) Diagrammatic MC ( cnfig. space of Feynman diagrams ) Disordered systems A method of choice for
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GB GB (periodic BC) 3a XY-view XZ-view Superfluid grain boundaries in He-4 Maps of exchange-cycles with non-zero winding numbers two cuboids atoms each
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ODLRO’ Superfluid grain boundaries in He-4 Continuation of the -line to solid densities
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