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Quantum simulations with cold atoms: from solid-state to high-energy physics and cosmology Vladimir S. Melezhik Bogoliubov Laboratory of Theoretical Physics.

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Presentation on theme: "Quantum simulations with cold atoms: from solid-state to high-energy physics and cosmology Vladimir S. Melezhik Bogoliubov Laboratory of Theoretical Physics."— Presentation transcript:

1 Quantum simulations with cold atoms: from solid-state to high-energy physics and cosmology
Vladimir S. Melezhik Bogoliubov Laboratory of Theoretical Physics JINR, Dubna THMEC, Dubna, 3 November 2016

2 Outline Quantum simulations: why cold atoms ?
Solid state physics: modeling matter phase-transitions Simulations with degenerate quantum gases High energy physics: modeling quark-gluon plasma, string theory, … Cosmology: unstable quantum vacuum Outlook, goals and opportunities Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

3 Quantum simulations: why cold atoms ?
R.Feynman’s vision: a quantum simulator to study the quantum dynamics of another system R. Feynman, Int. J. Theor. Phys. 21, 467 (1982) Y. Manin, Computable and Uncomputable (Sovetskoye Radio Press, Moscow) (in Russian) 1980. development of physics of ultracold atoms has opened unique possibility for realisation of R. Feynman’s idea: Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook to use simple quantum systems with desiered properties (amenable quantitative description and modeling) to describe more complex systems and phenomena

4 Quantum simulation with fully controlled systems
Quantum simulations: why cold atoms ? Quantum simulation with fully controlled systems control over: particle number quantum state interaction attractive interactions BCS-like pairing in finite systems repulsive int.+splitting of trap entangled pairs of atoms (quantum information processing) + periodic potential quantum many-body physics (systems with low entropy to explore such as quantum magnetism) ... Bose-Hubbard Physics

5 Quantum simulations: why cold atoms ?
control over: particle number

6 Quantum simulations: why cold atoms ?
control over: particle number

7 Quantum simulations: why cold atoms ?
control over: particle number 1/e-lifetime: 250s Exposure time 0.5s CCD distance between 2 neighbouring atom peaks: ~ 6s 1-10 atoms can be distiguished with high fidelity > 99%

8 Quantum simulations: why cold atoms ?
control over: particle number 2-component mixture in reservoir T=250nK superimpose microtrap switch off reservoir p0= + magnetic field gradient in axial direction

9 Quantum simulations: why cold atoms ?
control over: particle number with high fidelity Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

10 Quantum simulations: why cold atoms ?
control over: interaction Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

11 Quantum simulations: why cold atoms ?
control over: interaction Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

12 Quantum simulations: why cold atoms ?
control over: interaction 3D Feshbach resonance single-channel pseudopotential strong confinement 1D Confinement induced resonance (CIR) single-channel pseudopotential with renormalized interaction constant M. Olshanii, PRL 81, 938 (1998). 12

13 Quantum simulations: why cold atoms ?
control over: interaction 3D Feshbach resonance single-channel pseudopotential strong confinement 1D Confinement induced resonance (CIR) single-channel pseudopotential with renormalized interaction constant M. Olshanii, PRL 81, 938 (1998). 13

14 Quantum simulations: why cold atoms ?
control over: interaction 3D Feshbach resonance single-channel pseudopotential strong confinement 1D Confinement induced resonance (CIR) single-channel pseudopotential with renormalized interaction constant M. Olshanii, PRL 81, 938 (1998). 14

15 Elmar Haller –> Outstanding Doctoral
Thesis in AMO Physics Recipients for 2011

16 Shifts and widths of Feshbach resonances in atomic waveguides
Sh.Saeidian, V.S. Melezhik ,and P.Schmelcher, Phys.Rev. A86, (2012) d-wave FR at 47.8G develops in waveguide as depending on minimums and stable maximum of transmission coefficient T

17 Shifts and widths of Feshbach resonances in atomic waveguides
Sh.Saeidian, V.S. Melezhik ,and P.Schmelcher, Phys.Rev. A86, (2012) d-wave FR at 47.8G develops in waveguide as depending on minimums and stable maximum of transmission coefficient T experiment

18 Shifts and widths of Feshbach resonances in atomic waveguides
Sh.Saeidian, V.S. Melezhik ,and P.Schmelcher, Phys.Rev. A86, (2012) d-wave FR at 47.8G develops in waveguide as depending on minimums and stable maximum of transmission coefficient T experiment theory Olshanii formula works for s,d,and g FRs

19 Quantum simulations: why cold atoms ?
control over: quantum state 2 R r = 2 M.D. Girardeau, PRA 82, (R) (2010) R r in 1D: same same energy analytic solution for energy: T. Busch et al., Found Phys Vol.28, No (1998)

20 Quantum simulations: why cold atoms ?
control over: quantum state 2 distinguishable fermions 2 identical fermions F.Serwane et al. Science 332(2011)336

21 Solid state physics: modeling phase-transitions
Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

22 Solid state physics: modeling phase-transitions
Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

23 Solid state physics: modeling phase-transitions
Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

24 Solid state physics: modeling phase-transitions
Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

25 BCS-BEC crossover in ultracold Fermi gas
Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

26 BCS-BEC crossover in ultracold Fermi gas
diffusion Monte-Carlo simulation S.Pilati & S.Giorgini PRL 100 (2008) experiment N.Navon et al Science 328 (2010) 729 Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

27 BCS-BEC crossover in ultracold Fermi gas
diffusion Monte-Carlo simulation S.Pilati & S.Giorgini PRL 100 (2008) experiment N.Navon et al Science 328 (2010) 729 Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

28 BCS-BEC crossover in ultracold Fermi gas
diffusion Monte-Carlo simulation S.Pilati & S.Giorgini PRL 100 (2008) experiment N.Navon et al Science 328 (2010) 729 Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

29 BCS-BEC crossover in ultracold Fermi gas
diffusion Monte-Carlo simulation S.Pilati & S.Giorgini PRL 100 (2008) experiment N.Navon et al Science 328 (2010) 729 Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook

30 Simulations with degenerate quantum gases
Gross-Pitaevski equation Preperation of a tunable few-fermion system Tuning the interaction strength Analytic theory for two fermions Experiments with two fermions - Fermionization Center of mass motion and relative motion coupling Spectroscopic toolbox and Outlook Bose-Einstein condensation degenarate quantum gases

31 Modeling quark-gluon plasma, string theory
Optically-trapped, strongly-interacting atomic Fermi gases provide a unique possibility for modeling nonperturbative many-body systems and theories. Particularly  quark-gluon plasma, string theory a highly-degenerate Fermi gas of = shear viscosity/ entropy density A. Turlapov, J. Kinast, B. Clancy, L. Luo, J. Joseph, J.E. Thomas, J Low Temp Phys 150 (2008) 567

32 Modeling unstable quantum vacuum
Take 2 BECs and couple them with a laser light. RF BEC 1 BEC 2 Stable (true vacuum) Unstable (false vacuum) Their phase difference behaves like a pendulum, which has stable and unstable points. -- relativistic field equation of the early Universe.

33 Unstable quantum vacuum: BEC simulations
“Bubbles” appear during the transition to true vacuum

34 Opanchuk et al. Annalen der Physik 525 (2013) 866

35 Quantum simulation with fully controlled systems
Outlook, goals and opportunities Quantum simulation with fully controlled systems control over: particle number, quantum states, interaction Fast-growing field, promising applications in study of many problems I.M.Georgescu et al. Quantum simulations, Rev.Mod.Phys. 86 (2014) 153 J.I. Cirac and P.Zoller, Goals and opportunities in quantum simulation, Nature Phys. 8 (2012) 264 M.Dalmonte and S.Montangero, Lattice gauge theories simulations…,arXiv: ~ few tens experimental groups worldwide Rb,Cs,K,Sr,Li … Rb2 , Cs2 , RbK … D, 2D, 3D

36 Quantum simulation with fully controlled systems
Outlook, goals and opportunities Quantum simulation with fully controlled systems control over: particle number, quantum states, interaction Fast-growing field, promising applications in study of many problems I.M.Georgescu et al. Quantum simulations, Rev.Mod.Phys. 86 (2014) 153 J.I. Cirac and P.Zoller, Goals and opportunities in quantum simulation, Nature Phys. 8 (2012) 264 M.Dalmonte and S.Montangero, Lattice gauge theories simulations…,arXiv: ~ few tens experimental groups worldwide Rb,Cs,K,Sr,Li … Rb2 , Cs2 , RbK … D, 2D, 3D recently -> hybrid “atom-ion” systems Li-Yb+, Rb-Ba+ …

37 in proposed quantum simulators improved controllability and scalability are required.

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