quantum monte carlo methods for charged systems

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Quantum Monte Carlo methods for charged systems •Charged systems are the basic model of condensed matter physics How can this be done with cold atoms? ÞHow can they be simulated with Quantum Monte Carlo? Phase diagram of the “one component plasma” in 2D (as important as hubbard model?) 2 2 1 2 N i j i i i j i i j ee H m r r

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Quantum Monte Carlo methods for charged systems. Charged systems are the basic model of condensed matter physics  How can this be done with cold atoms? How can they be simulated with Quantum Monte Carlo? Phase diagram of the “one component plasma” in 2D (as important as hubbard model?). - PowerPoint PPT Presentation

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Page 1: Quantum Monte Carlo methods for charged systems

Quantum Monte Carlo methods for charged systems

•Charged systems are the basic model of condensed matter physics

How can this be done with cold atoms?

ÞHow can they be simulated with Quantum Monte Carlo?

Phase diagram of the “one component plasma” in 2D

(as important as hubbard model?)

22

1 2

Ni j

ii i ji i j

e eH

m r r

Page 2: Quantum Monte Carlo methods for charged systems

Many different quantum Monte Carlo methods

Which ensemble?T=0

• VMC (variational)• DMC/GFMC (projector)

or T>0?

• PIMC (path integrals)

Which basis?Particle

• Coordinate Space

• Sz representation for spin

Occupation Number

• Lattice models

Wave functions

• Hartree-Fock• Slater-Jastrow• Backflow, 3 body• Localized orbitals in

crystal

Which Hamiltonian?

•Continuum

•Lattice (Hubbard, LGT)

Page 3: Quantum Monte Carlo methods for charged systems

Imaginary-time path integralsThe thermal density matrix is:

• Trotter’s theorem (1959):

( )ˆ

ˆ lim

/

T V

MT V

M

e

e e

M

i i 11

S(R ,R ; )

1 MZ dR ...dR

M

ie

2

0 10 1 0 1

(R R ) τ( , ; ) V(R ) V(R )

4λ 2S R R

τ

Page 4: Quantum Monte Carlo methods for charged systems

“Distinguishable” particles within PIMC

• Each particle is a ring polymer; an exact representation of a quantum wavepacket in imaginary time.

• Integrate over all paths• The dots represent the

“start” of the path. (but all points are equivalent)

• The lower the real temperature, the longer the “string” and the more spread out the wavepacket.

• Path Integral methods can calculate all equilibrium properties without uncontrolled approximations

• We can do ~2000 charges with ~1000 time slices.

Page 5: Quantum Monte Carlo methods for charged systems

Bose/Fermi Statistics in PIMC• Average by sampling

over all paths and over connections.

• At the superfluid transition a “macroscopic” permutation appears.

• This is reflection of bose condensation within

PIMC.• Fermion sign problem: -1

for odd permutations.

Page 6: Quantum Monte Carlo methods for charged systems

Projector Monte Carlo (T=0)aka Green’s function MC, Diffusion MC

• Automatic way to get better wavefunctions.• Project single state using the Hamiltonian

• This is a diffusion + branching operator.• Very scalable: each walker gets a processor.• This a probability for bosons/boltzmanons since ground state can be made real

and non-negative. • Use a trial wavefunction to control fluctuations and guide the random walk;

“importance sampling”• For a liquid we use a Jastrow wavefunction, for a solid we also use Wannier

functions (Gaussians) to tie particles to lattice sites.• More accurate than PIMC but potentially more biased by the trial wavefunction.

)0()( E)t(H et

Page 7: Quantum Monte Carlo methods for charged systems

How can we handle charged systems?• If we cutoff potential :

– Effect of discontinuity never disappears: (1/r) (r2) gets bigger.– Will not give proper plasmons because Poisson equation is not

satisfied

• Image potential solves this: VI = v(ri-rj+nL)

– But summation diverges. We need to resum. This gives the Ewald image potential.

– For one component system we have to add a background to make it neutral (background comes from other physics)

– Even the trial function is long ranged and needs to be resummed.

Page 8: Quantum Monte Carlo methods for charged systems

9

Computational effort• r-space part same as short-ranged potential• k-space part:

1. Compute exp(ik0xi) =(cos (ik0xi), sin (ik0xi)), k0=2/L.

2. Compute powers exp(i2k0xi) = exp(ik0xi )*exp(ik0xi) etc. Get all values of exp(ik . ri) with just multiplications.

3. Sum over particles to get k for all k.

4. Sum over k to get the potentials.

Constant terms to be added.

Table driven method used on lattices is O(N2).

For N>1000 faster methods are known.

O(N3/2)

O(N)

O(N3/2)

O(N3/2)

O(N1/2)

O(1)

Page 9: Quantum Monte Carlo methods for charged systems

Fixed-node method

• Impose the condition:• This is the fixed-node BC

• Will give an upper bound to the exact energy, the best upper bound consistent with the FNBC.

0

0 0

( ) 0 when ( ) 0.

if ( ) ( ) 0 all

T

FN

FN

R R

E E

E E R R R

•f(R,t) has a discontinuous gradient at the nodal location.

•Accurate method because Bose correlations are done exactly.

•Scales well, like the VMC method, as N3.

•Can be generalized from the continuum to lattice finite temperature, magnetic fields, …

Page 10: Quantum Monte Carlo methods for charged systems

Dependence of energy on wavefunction 3d Electron fluid at a density rs=10

Kwon, Ceperley, Martin, Phys. Rev. B58,6800, 1998

• Wavefunctions

– Slater-Jastrow (SJ)

– three-body (3)

– backflow (BF)

– fixed-node (FN)

• Energy < |H| > converges to ground state

• Variance < [H-E]2 > to zero.

• Using 3B-BF gains a factor of 4.

• Using DMC gains a factor of 4.-0.109

-0.1085

-0.108

-0.1075

-0.107

0 0.05 0.1

VarianceE

nerg

y

FN -SJ

FN-BF

Page 11: Quantum Monte Carlo methods for charged systems

The 2D one component plasmaPRL 103, 055701 (2009); arXiv:0905.4515 (2009)

Bryan Clark, UIUC & Princeton

Michele Casula, UIUC & Saclay, France

DMC UIUC

Support from: NSF-DMR  0404853

•Electrons or ions on liquid helium •Semiconductor MOSFET•charged colloids on surfaces

We need cleaner experimental systems!

Page 12: Quantum Monte Carlo methods for charged systems

Phase Diagram for 2d boson OCP(up to now)

Wigner crystal

Classical plasma

Quantum fluid

1 / rs =(density)1/2

T (R) Quantum-classical crossover

Hexatic phase ~124

rs ~ 60 ~ 3x1012 cm2

Electrons on helium

electrons

2

sB

ar

a

e

kTa

De Palo, Conti, Moroni, PRB 2004.

Page 13: Quantum Monte Carlo methods for charged systems

Inhomogenous phases• Cannot have 2-phase coexistence at first

order transition! the background forbids it

• Jamei, Kivelson and Spivak [Phys. Rev. Lett. 94, 056805 (2005)] “proved” (with mean field techniques) that a 2d charged system cannot make a direct transition from crystal to liquid

• a stripe phase between liquid and crystal has lower energy

• Does not prove that stripes are the lowest energy state, only that the pure liquid or crystal is unstable at the transition

assume Boltzmann statistics – no fermion sign problem.

F

area

Maxwell construction

Page 14: Quantum Monte Carlo methods for charged systems

snapshots

122<<124

classicalquantum

Triangular lattice forms spontaneously in PIMC

Page 15: Quantum Monte Carlo methods for charged systems

Structure Factors

PIMC

Exper.

Keim, Maret, von Grunberg.

Classical MC

Page 16: Quantum Monte Carlo methods for charged systems

Hexatic order

*6

6

,

( ) 0

ijii ij c

j i

g r r

r r r r r e

He,Cui,Ma,Liu,Zou PRB 68,195104 (2003).

Muto , Aoki PRB 59, 14911(1999)

r

r

Page 17: Quantum Monte Carlo methods for charged systems

2d OCP Phase Diagram PRL 102,055701 (2009)

Wigner crystal

Classical plasma

Quantum fluid

1 / rs

T (R)

Hexatic phase

Clausius-Clapeyron relation :

First order transition is on “nose”

1 1s s

dT K

ETr dr

Page 18: Quantum Monte Carlo methods for charged systems

Transition order differs from KT?

1 / rs

T (R)

T(R)

1st order 2nd order?

Internal energy vs T

Page 19: Quantum Monte Carlo methods for charged systems

Unusual structure in peak of S(k)

Could be caused by many small crystals

rs=65, N=2248

Page 20: Quantum Monte Carlo methods for charged systems

Structures exist in transition region•Are structures real? Or an ergodic problem

•Are they different from a liquid?

•Can we make a ground state model? Not one that is energetically favorable.

Page 21: Quantum Monte Carlo methods for charged systems

Wigner crystal

Normal fluid

superfluid

hexatic

2D Bose OCP

T (R)

Page 22: Quantum Monte Carlo methods for charged systems

2dOCP fermion Phase diagram

• 2d Wigner crystal is a spin liquid.

• Magnetic properties are nearly divergent at melting (2d) and (nearly) 2nd order melting.

• But sign problem?

UNKNOWN

QuantumFluid

Super-conductor?

Page 23: Quantum Monte Carlo methods for charged systems

Phase Diagram of 3DEG

Polarization

transition

• second order partially polarized transition at rs=52 like the Stoner model (replace interaction with a contact potential)

• Antiferromagnetic Wigner Crystal at rs>105

Page 24: Quantum Monte Carlo methods for charged systems

Conclusions

• Long-ranged interactions are not an intractable problem for simulation.

• We have established the outlines of the OCP phase diagram for boltzmannons and bosons.

• Evidence for intervening inhomogeneous phases is weak• Future work: fermi statistics – but the “sign problem” makes the fluid

phases challenging (not hopeless).

• The OCP is a good target for a “quantum emulator.”• With optical lattice+disorder one can reach some of the most

important problems in CMP.