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Superuidity and Chaos in low dimensional circuits Geva Arwas, Amichay Vardi, Doron Cohen Ben Gurion University of the Negev, Beer Sheva, Israel Scope I Consider N bosons in an M site ring, that are condensed into a single plane-wave orbital. This is called a vortex state. It has a macroscopically large current. I The conventional paradigm associates vortex states with a stationary stable xed-points in phase space. Consequently the Landau criterion, and more generally the Bogoliubov de Gennes stability analysis, are normally used to determine the viability of superuidity. I We challenge the application of the traditional paradigm to low-dimensional circuits and highlight the role of chaos in their analysis. The model A rotating Bose-Hubbard system with M sites and N bosons. H = M X j=1 U 2 a y j a y j a j a j K 2 e i( =M ) a y j+1 a j +e i( =M ) a y j a j+1 Dimensionless parameters ( ;u) : u = NU K = M 2 2 m m eff K Upon quantization we have: ~ = 1 N The number of particles N is a constant of motion: N = M X j=1 a y j a j hence the model has effectively d=M 1 degrees of freedom. M=2 Bosonic Josephson junction, Integrable (d=1). M=3 Minimal circuit, Chaotic (mixed) phase-space M 4: High dimensional chaos (Arnold diffusion) M!1 : Continuous ring, Integrable. Fixed-points and Stability In a semi-classical context one dene phase-space action-angle coordinates as follows: a j = p n j e i’ j ; z = (’ 1 ; ;’ M ;n 1 ; ;n M ) The dynamics is generated by: (equivalent to DNLS) _ z= J@H ; J= 0 I I0 Coherent states are supported by stable xed-points( @H = 0) of the classical Hamiltonian. Linear stability analysis (BdG): _ z= JA z ; A ; = @@H Spectral stability: Energy minima (Landau criterion) Dynamical stability: Zero Lyapunov exponents (real Bogoliubov frequencies) Beyond the traditional view I Dynamical instability of a vortex state does not necessarily mean that superuidity is diminished, due to KAM structures. Chaotic and irregular vortex states. I Dynamical stability of a vortex state does not always imply actual stability. For M 4 KAM tori do not block transport (Arnold diffusion). I Due to the quantum uncertainty width of a vortex-state, stability is required within a Plank cell around the xed-point. Phase-diagram should be ~ dependent Launching trajectories at the vicinity of the vortex xed-point we encounter the following possibilities: the trajectories are: 1. locked at the vortex xed point (regular vortex state) 2. quasi-periodic in phase-space (breathing vortex) 3. chaotic but unidirectional (chotic vortex) Spectrum For each eigenstate jE i we calculate the bond averaged current and the one-body reduced probability matrix: I @H @ ij = 1 N ha y j a i i S trace( 2 ) 1=S 2 [1; M] 1=S = # of participating orbitals. 1=S = 1 means a coherent state. 1=S = M is a maximum fragmentation. Vortex state = Condensation in momentum orbital. Self-trapped state = Condensation in site orbital. Regime Diagram for M=3 The I of a maximal current state A stable vortex state carries current: I m = N M K sin 1 M (2 m ) ; (here m = 1) Spectral stability: (solid) u> 3 12 sin 2 3 6 4 sin 3 6 Dynamical instability: (dashed) u> 9 4 sin 6 3 & < 2 Swap transition: (dotted) u= 18 sin 6 3 Regime diagram for Large systems ( M 4) M=4;N=16 M=5;N=11 I Energy surface is 2d 1 dimensional I KAM tori are d dimensional I Arnold diffusion: the KAM tori in phase space are not effective in blocking the transport on the energy shell if d>2. I As u becomes larger this non-linear leakage effect is enhanced, stability of the motion is deteriorated, and the current is diminished. I Due to the nite uncertainty width of the vortex state superuidity can be diminished even in the spectrally stable region. Representative Wavefunctions M = 3;4 (a) Regular coherent vortex state. (b) Self-trapped state (bright soliton). (c) Typical state in the chaotic sea. (d) Chaotic vortex state. (e) Breathing vortex state. (f) Regular coherent vortex state. (g) Irregular vortex state. Images of jhnjE ij 2 (Fock basis representation). Insets: underlying classical dynamics. Panels (a-e) are for M=3, panels (f-g) are for M=4. (a) (b) (c) (d) (e) (f) (g) Phase-space structure M=3 (a) (b) (c) (d) (e) (f) Poincare sections: red (blue) = large positive (negative) current Semiclassical reproduction of the regime diagram M=4 We launch a Gaussian cloud of trajectories that have an uncertainty width that corresponds to N. The fraction of trajectories that escape is used as a measure for the stability. Results are displayed for clouds that have uncertainty width = 2 (left) and = 4 (right). Conclusions I The recent experimental realization of conning potentials with toroidal shapes and tunable weak links has opened a new arena of studying superuidity in low dimensional rings. In particular a discrete ring has been realized. I We challenge the application of traditional BdG analysis to low-dimensional superuid circuits. I We have highlighted a novel type of superuidity that is supported by irregular or chaotic or breathing vortex states. I In a larger perspective we emphasize that the role of chaos should be recognized in the analysis of superuidity. Furthermore we believe that a global understanding of the mixed phase-space structure is essential in order to analyse dynamical processes such as phase-slips. References [1] G. Arwas, A. Vardi, D. Cohen (PRA 2014) [2] G. Arwas, A. Vardi, D. Cohen (arXiv 2014) [email protected]
Transcript
Page 1: Superfluidity and Chaos in low dimensional circuitsdcohen/ARCHIVE/sfc_POSTER.pdf · Superfluidity and Chaos in low dimensional circuits Geva Arwas, Amichay Vardi, Doron Cohen Ben

Superfluidity and Chaos in low dimensional circuitsGeva Arwas, Amichay Vardi, Doron Cohen

Ben Gurion University of the Negev, Beer Sheva, Israel

Scope

I Consider N bosons in an M site ring, that are condensed intoa single plane-wave orbital. This is called a “vortex state”. Ithas a macroscopically large current.

I The conventional paradigm associates vortex states with astationary stable fixed-points in phase space. Consequentlythe Landau criterion, and more generally the Bogoliubov deGennes stability analysis, are normally used to determine theviability of superfluidity.

I We challenge the application of the traditional paradigm tolow-dimensional circuits and highlight the role of chaos in theiranalysis.

The model

A rotating Bose-Hubbard system with M sites and N bosons.

H =M∑

j=1

[U2

a†j a†j ajaj −

K2

(ei(Φ/M)a†j+1aj + e−i(Φ/M)a†j aj+1

)]

Dimensionless parameters (Φ,u):

u =NUK

Φ =M2

(m

meff

KUpon quantization we have:

~ =1N

The number of particles N is a constant of motion:

N =M∑

j=1

a†j aj

hence the model has effectively d = M−1 degrees of freedom.M = 2 Bosonic Josephson junction, Integrable (d=1).M = 3 Minimal circuit, Chaotic (mixed) phase-spaceM ≥ 4: High dimensional chaos (Arnold diffusion)M →∞: Continuous ring, Integrable.

Fixed-points and Stability

In a semi-classical context one define phase-spaceaction-angle coordinates as follows:

aj =√

njeiϕj , z = (ϕ1, · · · ,ϕM ,n1, · · · ,nM)

The dynamics is generated by: (equivalent to DNLS)

z = J∂H , J =

(0 I−I 0

)Coherent states are supported by stable fixed-points (∂H = 0)of the classical Hamiltonian.Linear stability analysis (BdG):

z = JAz , Aν,µ = ∂ν∂µH

Spectral stability: Energy minima (Landau criterion)Dynamical stability: Zero Lyapunov exponents (realBogoliubov frequencies)

Beyond the traditional view

I Dynamical instability of a vortex state does not necessarilymean that superfluidity is diminished, due to KAM structures.Chaotic and irregular vortex states.

I Dynamical stability of a vortex state does not always implyactual stability. For M ≥ 4 KAM tori do not block transport(Arnold diffusion).

I Due to the quantum uncertainty width of a vortex-state,stability is required within a Plank cell around the fixed-point.Phase-diagram should be ~ dependent

Launching trajectories at the vicinity of the vortex fixed-pointwe encounter the following possibilities:the trajectories are:

1. locked at the vortex fixed point (regular vortex state)2. quasi-periodic in phase-space (breathing vortex)3. chaotic but unidirectional (chotic vortex)

Spectrum

For each eigenstate |Eα〉 we calculate the bond averagedcurrent and the one-body reduced probability matrix:

Iα ≡ −⟨∂H∂Φ

⟩α

ρij =1N〈a†j ai〉α

Sα ≡ trace(ρ2)

1/S ∈ [1,M]

1/S = # of participating orbitals.1/S = 1 means a coherent state.1/S = M is a maximum fragmentation.

Vortex state = Condensation in momentum orbital.Self-trapped state = Condensation in site orbital.

Regime Diagram for M = 3

The I of a maximal current state

Φ/πu

abc

def

0.2 0.4 0.6 0.8

−1

0

1

2

3

4

5

0

0.2

0.4

0.6

0.8

1

A stable vortex state carries current:

Im =NM

K sin(

1M

(2πm−Φ)

), (here m = 1)

Spectral stability: (solid) u >3− 12 sin2

(Φ3 −

π6

)4 sin

(Φ3 −

π6

)Dynamical instability: (dashed) u >

94

sin(π

6− Φ

3

)& Φ <

π

2

Swap transition: (dotted) u = 18 sin(π

6− Φ

3

)

Regime diagram for “Large” systems (M ≥ 4)

M = 4 , N = 16 M = 5 , N = 11

Φ/π

u

unstable

stable

0 0.5 1

−4

−2

0

2

4

6

0

0.2

0.4

0.6

0.8

1

Φ/π

u

unstable

stable

−0.5 0 0.5−5

0

5

10

15

0

0.2

0.4

0.6

0.8

1

I Energy surface is 2d − 1 dimensionalI KAM tori are d dimensionalI Arnold diffusion: the KAM tori in phase space are not effective

in blocking the transport on the energy shell if d > 2.I As u becomes larger this non-linear leakage effect is

enhanced, stability of the motion is deteriorated, and thecurrent is diminished.

I Due to the finite uncertainty width of the vortex statesuperfluidity can be diminished even in the spectrally stableregion.

Representative Wavefunctions M = 3,4

(a) Regular coherent vortex state.(b) Self-trapped state (“bright soliton”).(c) Typical state in the chaotic sea.(d) Chaotic vortex state.(e) Breathing vortex state.(f) Regular coherent vortex state.(g) Irregular vortex state.

Images of |〈n|Eα〉|2 (Fock basis representation).Insets: underlying classical dynamics.Panels (a-e) are for M = 3, panels (f-g) are for M = 4.

−1 0 10

0.5

1

n2−n1

n3

−1 0 10

0.5

1

n2−n1

n3

−1 0 10

0.5

1

n2−n1

n3

(a) (b) (c)

−1 −0.5 0 0.5 10

0.2

0.4

0.6

0.8

1

n2 − n1

n3

−1 −0.5 0 0.5 10

0.2

0.4

0.6

0.8

1

n2 − n1

n3

(d) (e)

n2

n4

n1

n3

n3

n2

n4

n1

(f) (g)

Phase-space structure M = 3

(a)

(b)

(c)

(d)

(e)

(f)

ϕ1−

ϕ3

n1 − n3

Forbidden region

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−20

0

20

40

60

80

I [scaled]

E

u = 2.5 , Φ = 0.95π

ϕ1−

ϕ3

n1 − n3

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−20

0

20

40

60

80

I [scaled]

E

u = 2.5 , Φ = 0.6π

ϕ1−

ϕ3

n1 − n3

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−40

−20

0

20

40

60

80

I [scaled]

E

u = 2.5 , Φ = 0.44π

ϕ1−

ϕ3

n1 − n3

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−40

−20

0

20

40

60

I [scaled]

E

u = 1.3 , Φ = 0.45π

ϕ1−

ϕ3

n1 − n3

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−40

−20

0

20

40

60

I [scaled]

E

u = 1.3 , Φ = 0.4π

ϕ1−

ϕ3

n1 − n3

−0.5 0 0.5 1−3

−2

−1

0

1

2

3

−1 −0.5 0 0.5 1−40

−20

0

20

40

60

I [scaled]E

u = 1 , Φ = 0.35π

Poincare sections: red (blue) = large positive (negative) current

Semiclassical reproduction of the regime diagram M = 4

We launch a Gaussian cloud of trajectories that have anuncertainty width that corresponds to N.The fraction of trajectories that escape is used as a measurefor the stability.

Φ/π

u

0 0.5 1

−4

−2

0

2

4

6

Φ/π

u

0 0.5 1

−4

−2

0

2

4

6

Results are displayed for clouds that have uncertainty width∆ϕ ∼ π/2 (left) and ∆ϕ ∼ π/4 (right).

Conclusions

I The recent experimental realization of confining potentials withtoroidal shapes and tunable weak links has opened a newarena of studying superfluidity in low dimensional rings. Inparticular a discrete ring has been realized.

I We challenge the application of traditional BdG analysis tolow-dimensional superfluid circuits.

I We have highlighted a novel type of superfluidity that issupported by irregular or chaotic or breathing vortex states.

I In a larger perspective we emphasize that the role of chaosshould be recognized in the analysis of superfluidity.Furthermore we believe that a global understanding of themixed phase-space structure is essential in order to analysedynamical processes such as phase-slips.

References

[1] G. Arwas, A. Vardi, D. Cohen (PRA 2014)[2] G. Arwas, A. Vardi, D. Cohen (arXiv 2014)

[email protected]

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