Correlation and entanglement measures in trapped few

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Correlation and entanglement measures intrapped few-particle systemsTo cite this article Anna Okopiska 2010 J Phys Conf Ser 213 012004

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Correlation and entanglement measures in trapped

few-particle systems

Anna OkopinskaInstitute of Physics Jan Kochanowski University Swietokrzyska 15 25-406 Kielce Poland

E-mail okopinfuwedupl

Abstract Quantum correlations in few-particle systems are discussed in dependence on theshape of the external confining potential The energy spectra as well as the natural orbitalsand their occupation numbers are determined by using the optimized configuration interactionmethod Considering the inter-particle interactions of the contact type the comparison ofvarious entanglement measures is given for the full range of interaction strength from stronglyattractive to repulsive values Entropic correlation measures are also discussed for the case oflong-range Coulomb interactions between the particles

1 IntroductionInterest in theoretical studies of few-particle quantum systems has grown enormously in early1980s since their experimental realization in the form of semiconductor quantum dots (QDs) [1]or few-ion systems in electromagnetic traps Other realizations soon became possible due tothe rapid development of trapping techniques for ultracold gases [2] and the application ofoptical lattices to isolate systems containing a few atoms or molecules [3] The possibility ofstudying single few-body objects in these experiments represents a remarkable advantage oversystems existing in nature such as atoms or nuclei that are not directly observable but inferredfrom experiments on macroscopic bodies containing enormous numbers of individuals Anotheradvantage of the artificial structures is that their parameters such as the trapping potentialthe number of constituents N and interaction strength may be controlled at will [2 3] Thepossibility of fabricating low-dimensional artificial few-body structures gave impetus for theirdetailed theoretical studies Two-dimensional systems interacting via Coulomb force are thesubject of interest in connection to semiconducting QDs the perpendicular dimension of which isusually negligible [1] Studies of one-dimensional systems became increasingly popular after theirexperimental realization in ultracold gases [4] The interatomic interaction at low temperaturesmay be considered as a contact one U(r1 r2) = g3Dδ(r1minusr2) with g3D = 4πh2a3D

m and a3D beingthe scattering length Quasi-one dimensional systems are created by using trapping potentialwith the perpendicular confinement length aperp much smaller than the longitudinal one In thiscase the effective interaction potential is well approximated by U(x1 x2) = g1Dδ(x1minusx2) whereg1D asymp 4h2a3D

maperp(aperpminus146a3D) [3] which makes the theoretical description relatively simpleArtificial few-body systems are under intense research for possible applications in quantum

information processing [5] The parallel theoretical and experimental studies give also hope ofbetter understanding the strongly-coupled many-body physics In particular characterizing

Symmetry and Structural Properties of Condensed Matter (SSPCM 2009) IOP PublishingJournal of Physics Conference Series 213 (2010) 012004 doi1010881742-65962131012004

ccopy 2010 IOP Publishing Ltd 1

states of many-body systems using tools and measures developed in quantum informationtheory appears useful and inspiring One of the major conceptual tasks is the quantificationof entanglement and analysis of its behavior in many-body states This work aims to discussquantum correlations and entanglement measures in the case of two-particle systems confinedby different forms of external potentials For one-dimensional two-particle systems with contactinteraction we compare the behavior of various entanglement characteristics in the full rangeof positive and negative values of the effective interaction strength g1D For two-dimensionalquantum systems with Coulombic interaction the influence of anisotropy of the harmonicconfinement on entanglement properties is studied The numerical approach is based onthe Rayleigh-Ritz method in the basis of harmonic oscillator eigenfunctions with nonlinearparameters We show that the strategy of spectral trace minimization appears effective indetermining the energy spectrum and entanglement properties of the two-particle systems

The plan of our work is as follows In section 2 various correlation and entanglement measuresare presented A brief description of the numerical approach is given in section 3 In section 4the efficiency of the spectral trace optimization in solving various two-particle problems isdemonstrated Section 5 is devoted to conclusion

2 Quantum state characteristicsA quantum state of many-body system is described by N -particle wave function |Ψ gt= Ψ(r σ)that fulfils the Schrodinger equation

HΨ(r σ) = EΨ(r σ) r = minusrarrr1 minusrarrrN σ = σ1 σN (1)

where σi denotes the spin of a particle We consider the case of spin independent Hamiltonian

H =Nsum

i=1

minus h2

2m∆i + V (minusrarrri ) +

Nsum

iltj

U(minusrarrri minusrarrrj ) (2)

when the Nminusparticle wave function factorizes into Ψ(r σ) = χ(σ)φ(r) The spin part χ(σ) is alinear combination of the products of single-particle spin states χi1(σ1)χiN (σN ) whereas thespatial wave function depends on the interaction U(minusrarrri minusrarrrj ) and the trapping potential V (minusrarrr )through the partial differential equation

Nsum

i=1

[minus h2


Nsum

iltj

U(minusrarrri minusrarrrj )]φ(r) = Eφ(r) (3)

with an appropriate boundary condition In the case of bound states which is studied in thepresent work the condition is of the form φ(r) = 0 nablaφ(r) = 0 |r| rarr infin which means thatφ(r) isin L2 The potentials U(minusrarrri minusrarrrj ) and V (minusrarrr ) are assumed to be real the solution of theSchrodinger equation φ(r) may be thus chosen as a real function which is however unseparableif U(minusrarrri minusrarrrj ) 6= 0 In the case of identical particles the total wave function must be antisymmetricunder exchange of any pair of particles if they are fermions (half-odd-integer spin) and symmetricif they are bosons (integer spin)

21 Correlation and entanglement measuresThe concept of entanglement is closely related to quantum correlations It is commonly acceptedthat for identical particles the correlations arising purely from their indistinguishable natureshould be excluded from the definition of quantum correlations [6 7] Therefore for bosonic(fermionic) particles the symmetrized (anti-symmetrized) products of one-particle functions areconsidered as non-entangled and deviations from such states are used to measure the amount


2

of entanglement Many ways of measuring the amount of correlation have been developed inquantum chemistry and quantum information science The most used energetic statistical andentropic measures will be described in subsections 22 23 24 respectively

22 Correlation energyThe energetic correlation measure is usually defined with respect to the mean-field approximationthat amounts to including the correlations due to particle statistics and neglecting those thatare due to the inter-particle interaction The correlation energy is defined as the differencebetween the approximate and the exact energy of the system For systems composed offermionic particles the mean-field coincides with the Hartree-Fock approximation and so definedmeasure is used in quantum chemistry since long time [8] For bosonic systems the mean-fieldapproximation is obtained by representing the many-body state by the product of identicalspatial orbitals φ(r) = ϕ(minusrarrr 1)ϕ(minusrarrr N ) [2] The energy functional defined as the mean-fieldvalue of the Hamiltionian (1) reads

E[ϕϕlowast] =int

ϕlowast(minusrarrr )

[minus h2

2m∆ + V (minusrarrr )

]ϕ(minusrarrr )d3r+

(N minus 1)2

int intU(minusrarrr minusrarrr prime)|ϕ(minusrarrr )ϕ(minusrarrr prime)|2d3rd3rprime

(4)and its minimization under the condition of constancy of the particle number provides thenonlinear Gross-Pitaevskii (GP) equation

[minus h2

2m∆ + V (minusrarrr ) +

intU(minusrarrr minusrarrr prime)|ϕ(minusrarrr prime)|2d3rprime

]ϕ(minusrarrr ) = microϕ(minusrarrr ) (5)

where the chemical potential micro has to be determined from the normalization conditionint |ϕGP (minusrarrr )|2d3r = 1 The solution of the GP equation yields the mean-field approximationto the energy EGP = E[ϕGP ϕlowastGP ] which determines the correlation energy by

Ec = EGP minus Eexact (6)

23 Kutzelnigg coefficientAmong various statistical correlation coefficients discussed by Kutzelnigg et al [9] the simplestcorrelation measure is a scalar coefficient that for identical particles is defined as

τij =〈minusrarrr 1 middot minusrarrr 2〉ij minus 〈minusrarrr 〉2i〈minusrarrr 2〉i minus 〈minusrarrr 〉2i

(7)

where the expectation values are weighted with the probability density |φ(minusrarrr 1 minusrarrr N )|2 andintegrated over the remaining variables The Kutzelnigg coefficient is bounded by |τij | le 1

24 Entropic entanglement measuresEntropic correlation measures are based on the Schmidt decomposition [5] Here we considerthe spatial correlations for a pure Nminusparticle state |φ gt Upon dividing the full system on twoparts 1 and 2 the Schmidt decomposition takes a form

|φ〉 =sum

l

kl|vl〉|ul〉 (8)

where vl and ul are the orthonormal basis sets in the two Hilbert spaces The spatial wavefunction |φ gt defines the density matrix

ρ = |φ gtlt φ| (9)


3

that also contains full information on the state and may be conveniently used to define variousquantities describing some of the system properties For a chosen partition into two subsystemsthe reduced density matrices are obtained by taking the trace over the degrees of freedom of theremaining part namely

ρ1 = Tr2ρ ρ2 = Tr1ρ (10)

The resulting decompositions of the reduced density matrices are given by

ρ1 =sum

l

λl|vl〉〈vl| ρ2 =sum

l

λl|ul〉〈ul| (11)

where the number of nonzero terms in both sums is the same and is called the Schmidt rankThe common eigenvalues of both matrices λl = k2

l are termed occupancies becausesum

l λl = 1For distinguishable particles the state is non-entangled if its Schmidt rank equals to 1 otherwisethe whole set of occupancies λl characterizes the amount of entanglement in the consideredstate In order to describe the entanglement by the one quantity various measures have beenconstructed from the coefficients kl such as

bull von Neumann entropy [10] SvN = minusTrρLog2ρminussum

k2l log2k

2l = minussum

λllog2λl

bull effective number of Schmidt modes [11] K = 1Tr[ρ2] = 1sum

λ2l

bull linear entropy [12] L = 1minus Tr[ρ2] = 1minus 1K

bull robustness [13] R = (Tr[φ])2 minus 1 = (sum

kl)2 minus 1

For identical particles the issue is more complicated then for distinguishable ones since thecorrelations arising from the particle statistics have to be excluded from the definition ofentanglement measures [6 7] This will be discussed later when we consider the two-bosonand two-fermion systems

3 Optimized Configuration Interaction Method31 Configuration Interaction MethodOne of most efficient ways to solve differential equations is the spectral approach which inquantum mechanics is known under the name of the Rayleigh-Ritz (RR) method [14] Theapproach consists in approximating the solution of the Schrodinger equation as a finite linearcombination

φ(r) asymp φ(M)(r) =Mminus1sum

α=0

cαψα(r) (12)

where the trial functions ψα(minusrarrr ) are taken from some Hilbert space basis that may be assumedorthonormal for convenience Treating the coefficients cα as variational parameters one obtainsa set of linear equations

Mminus1sum

β=0

(Hαβ minus εδαβ)cβ = 0 α = 0 1 M minus 1 (13)

where Hαβ = 〈α|H|β〉 denotes the matrix elements of the Hamiltonian between the statesof the basis |α〉 = ψα The eigenvectors of the above equations cβα determine Mthorder approximations to wave functions φ

(M)α (minusrarrr ) The corresponding eigenvalues ε

(M)α are the

variational upper bounds to the exact bound-state energies of α = 0 M minus 1 states Theaccuracy of the method can be systematically improved by increasing the number M of includedbasis functions which yields successive approximations to the larger and larger number of statesIn this way a desired part of the spectrum may be determined with the approximate eigenvalues


4

monotonically converging to the exact bound-state energies [14] Considering the few-particlecase it is convenient to use basis sets of a proper symmetry under exchange of particle ie takingthe basis functions in the bosonic (fermionic) case as permanents (determinants) constructedfrom the one-particle basis functions In quantum chemistry such an approach is termedconfiguration interaction (CI) method In condensed matter physics the method is known underthe name of rdquoexact diagonalizationrdquo although the results become exact only in the limit M rarrinfin

32 Nonlinear ParametersThe convergence properties of the RR method depend strongly on the choice of the expansionbasis The more similar are the trial functions to the exact eigenfunctions of the consideredproblem the quicker is the convergence Fortunately flexibility of the method can be increasedby introducing a set of adjustable parameters Ω = Ω1 ΩK into the functions of the basis|α〉Ω and exploiting the freedom in choosing their values so as to improve the convergence ofthe scheme [15] Optimization strategies may be divided into two classes those where nonlinearparameters are fixed so as to obtain the quickest convergence to the minimum energy value andthose where they are fixed before performing RR diagonalization The former approach applies toa particular level the approximate energy of which is determined only after diagonalization of theRR matrix Establishing the quickest convergence requires thus repeating diagonalization manytimes for different values of nonlinear parameters which leads to computationally expensivealgorithms of iterative optimization [16] Another problem is that the energy as a function ofnonlinear parameters exhibits numerous local minima and deterministic optimization algorithmsdo not guarantee achieving a global minimum This may be overcome by the stochasticvariational approach where the search of the best values of nonlinear parameters is performedstarting from randomly chosen sets of initial values In this approach good convergence for smallatoms molecules and few-nucleon systems is obtained [17] but the approximate wave functionsare not orthogonal since calculation are performed for each of energy levels independentlyTherefore the strategy of fixing nonlinear parameters by optimization of the convergence rateis mainly used when only the ground state of the system is of interest and high accuracy isrequired

Whenever a larger part of the spectrum is to be determined fixing the values of nonlinearparameters before diagonalization of the RR matrix is more advantageous since numericalcalculations are much simpler and approximate eigenstates are automatically orthonormalVarious strategies of fixing nonlinear parameters are possible and their convergence propertieshave to be checked a posteriori for a given system Fixing nonlinear parameters so as to ensurethe proper asymptotic behavior of trial functions has proven effective for simple systems [18]but an extension of this approach to other systems and other basis sets is problematic sinceasymptotic expansions which are uniformly valid in the nonlinear parameters are difficult toconstruct Therefore ad hoc methods are more popular eg with nonlinear parameters fixed soas to minimize the expectation value of the Hamiltonian in a chosen state of the trial basis or soas to vanish some nondiagonal elements of the RR matrix Depending on the considered systemone or the other gives a better convergence rate but none of the method can be regarded asjustified by any principle

33 Spectral Trace OptimizationWe observed [19] that the choice of nonlinear parameters might be based on the principle ofminimal sensitivity [20] which states that nonphysical parameters introduced into calculationshould be fixed so as to make the given order approximation to the physical quantity as lesssensitive as possible to the variations of them The only physical quantity which may becalculated before diagonalization of the RR matrix is its trace TrMH =

sumMα=1 Ω lt α|H|α gtΩ

which represents the Mth order approximation to the sum of energies of the M lowest bound-


5

states Therefore in the optimized RR method [19] we require the values of nonlinear parametersin Mth order calculation to be chosen so as to render the trace of the truncated matrix TrMHstationary

δ

δΩiTrMH = 0 i = 1 K (14)

The effectiveness of the optimized RR scheme may be demonstrated for one-dimensionaloscillators with various powers of anharmonicity k described by the Hamiltonians

H = minus12

d2

dx2+

ω2x2

2+ λxk (15)

using the basis of the eigenfunctions of the harmonic oscillator H = minus12

d2

dx2 + Ω2x2

2 of an arbitraryfrequency Ω that are given by

〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)

We have shown [19] that with Ω fixed in Mth order calculation so as to fulfil the stationaritycondition (14) well converged results for the spectrum of the quartic oscillator (k = 4) in boththe single- and double-well cases are obtained automatically A particularly good test is providedby quasi-solvable example of the sextic oscillator H = minus1

2d2

dx2 minus 35radic2x2 + x6 for which nine states

of even parity (n = 0 2 16) are known exactly The exponential convergence of the optimizedRR scheme is evidenced in Fig1(a) adapted from Ref [21] where the relative errors δE

(N)n (Ωopt)

for the ground-state (n = 0) and the highest of the analytically known excited states (n = 16)are plotted in function of M The quick convergence of various moments of the position operatorx

k(M)n (Ωopt) = 〈n|xk|n〉 shown in Fig1 (b) and (c) for n = 0 and n = 16 states indicates that

approximations to wave functions are also accurate The optimized RR method works also wellfor oscillators with higher anharmonicities which present a more stringent test for effectivenessof nonlinear parameters optimization Even in the difficult cases of multi-well oscillators withk = 10 the 50-digits accuracy is easily achieved with RR matrices of order M lt 100 [21]

Ln[δE(M)n ] (a) Ln[δ〈xk〉

(M)n=0] (b) Ln[δ〈xk〉

(M)n=16] (c)

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

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agrave

0 10 20 30 40 50-60

-50

-40

-30

-20

-10

0aelig

aeligaelig

aelig

aeligaelig

aelig

aelig

aelig

aeligaelig

agrave

agraveagrave

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igraveigrave

igraveigrave

igrave

igrave igrave

igrave

igrave

igrave

15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

aelig

aelig

aeligaelig

aelig

aelig

aelig

agraveagrave

agrave

agrave

agrave

agrave

agrave

agrave agrave

igrave

igrave

igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10

Figure 1 Relative errors for energy δE(M)n (Ωopt) and various moments for n=0 and n=16 state

of the sextic oscillator in function of the dimension M of the optimized RR matrix

In the case of a central potential V (r) at fixed angular momentum l the Schrodinger equationfor the radial function u(r)

r reduces to the one-variable eigenequation for the radial Hamiltonian

H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6

An appropriate two-parameter basis for the RR method may be constructed from the set ofeigenfunctions of the pseudo-harmonic oscillator Hamiltonian H = minus1

2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2

that are given by [22]

〈r|n〉γΩ = uγΩn (r) = (minus1)n 1

Γ(γ)

radic2ΩγΓ(γ + n)

nrγminus 1

2 eminus12r2Ω

1F1(minusn γ Ωr2) (18)

The strategy of fixing the parameters Ω and γ through the stationarity of the trace condition (14)has been tested [21] for the anharmonic oscillator Hamiltonian

H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)

The RR calculation are well defined if γ gt minuss2 since only in this case the matrix elementsΩγ〈m|rk|n〉Ωγ appear finite for k = 1 2 [23] The method proved effective in determiningthe lower part of the spectrum even in the case of spiked oscillators with s lt minus2 whichare most difficult to tackle numerically The energy estimates in function of the truncationorder M are shown in Fig2 (adapted from Ref [21]) on two quasi-solvable examples of therdquoantisexticrdquo oscillator (s = minus6) with l = 0 where ground-states energies are analytically knownThe convergence is exponential albeit its rate is generally slower than in the case of positivepower oscillators In contradistinction to the positive power case where optimization of the Ωparameter was only important for spiked oscillators the value of the parameter γ plays a crucialrole The optimum value of γ depends strongly on λ and grows with M The condition γopt gt 3is fulfilled although the smaller is λ the closer γopt is to the value 3 where the matrix elementsbecome singular which explains the worsening of convergence with decreasing λ

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

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agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

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agrave

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agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M

Figure 2 Relative energy errors for the ground-state of the radial rdquoantisexticrdquo oscillator infunction of the dimension M of the optimized RR matrix for various interaction strength λ

In Fig 3 (adapted from Ref [21]) the accuracy of our method of fixing nonlinear parametersis compared with that obtained with nonlinear parameters being optimum for convergence of theground state energy of the rdquoantisexticrdquo oscillator [24] for the RR matrix of dimension M = 80The later strategy gives very good approximation for the ground state but the accuracy rapidlydecreases for higher levels while the trace optimization strategy provides a uniformly goodapproximation for all the lowest levels This makes our strategy particularly appropriate whendetermination of a larger part of the quantum spectrum is required This part of spectrum mightbe successfully utilized to obtain accurate results for the free energy [19] or the time evolution inanharmonic potentials [25] With a modern software environment the optimized RR scheme maybe implemented in a way allowing an arbitrary precision calculation by taking advantage of thepresent computer algebra abilities to deal with exact numbers This is especially important fordetermining the tiny energy splitting in the case of multi-well potentials with nearly degeneratelevels [21]


7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization

Figure 3 Relative errors ofbound state energies of the spikedoscillator of λ = 01 in function ofthe level number determined withnonlinear parameters chosen so asto optimize the ground-state energy(blue) and the trace of the RRmatrix (red)

4 Two-particle systemsIn the following we will study two-particle confined systems with the Hamiltonian given by

H = minus h2

2m∆1 + V (minusrarrr1)minus h2

2m∆2 + V (minusrarrr2) + U(minusrarrr1 minusrarrr2) (20)

In this case the only possible partition is into two one-particle systems with identical reduceddensity matrices of a simple one-particle form ρ(minusrarrr minusrarrr prime) =

intφ(minusrarrr minusrarrr primeprime)φ(minusrarrr primeprimeminusrarrr prime)d3rprimeprime the

eigenfunctions of which are just the natural orbitals (NOs) well known in quantum chemistryThe Schmidt decomposition of the two-particle function is unambiguous

φ(minusrarrr1 minusrarrr2) =sum

klvl(minusrarrr1)vl(minusrarrr2) (21)

with the coefficients kl being real but not necessarily positive which enables determination ofoccupancies λl = k2

l without necessity of calculating the density matrix The coefficients kl maybe directly calculated using the optimized CI approach by representing the spatial wave functionas


jgei

cijψij(minusrarrr1 minusrarrr2) (22)

where ψij(minusrarrr1 minusrarrr2) = bij [ϕΩi (minusrarrr1)ϕΩ

j (minusrarrr2) plusmn ϕΩj (minusrarrr1)ϕΩ

i (minusrarrr2)] with bii = 12 and bij = 1radic

2 fori 6= j and the upper (lower) sign corresponds to bosons (fermions) Using the same basis of anarbitrary frequency Ω (16) to expand the natural orbitals as

v(minusrarrr ) =sum

pnϕΩn (minusrarrr ) (23)

turns the eigenproblem (21) into an algebraic equationsum

(Amn minus knδmn)pn = 0 (24)

where Ann = cnn and Amn = 2minus12cmn for m 6= n with cnm determined from diagonalizationof [H]MtimesM By diagonalization of the matrix [A]MtimesM the approximate coefficients kn andthe corresponding occupancies λn = k2

n may be determined Due to the fact thatsum

A2nm = 1

their numerical values satisfysum

k2n =

sumλn = 1 The application of the method for determining

two-particle wave functions has been tested in the doctorrsquos thesis of PKoscik [26]We will show the efficacy of optimization of the CI method through the stationarity of the

trace condition in determining spectra and NOs of trapped two-particle systems on two examplesFirst is a one-dimensional system in anharmonic confinement of single- and double-well shapewith the interparticle interactions of the contact type The second is a two-dimensional systemof Coulombically interacting particles confined in an anisotropic harmonic potential


8

41 Two-boson systemThe state of two identical bosons is non-entangled only if its Schmidt rank equals 1 or 2 [6 7]In the first case λ0 = 1 and the state is the product of the same natural orbital

φ(r1 r2) = v0(r1)v0(r2) (25)

We will call such a state rdquocondensedrdquo as representing a two-particle analogue of the Bose-Einstein condensate according to the Penrose-Onsager criterion [27] In the second caseλ0 = λ1 = 1

2 and the Schmidt decomposition of wave function comprises two cases

φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)

In both cases the two natural orbitals are equally populated and wave function can be writtenas a permanent of two orthogonal orbitals φ(r1 r2) = 1radic

2(η(r1)χ(r2) + χ(r1)η(r2)) where

η = 1radic2(v0 minus iv1) χ = 1radic

2(v0 + iv1) for the plus sign and η = 1radic

2(v0 minus v1) χ = 1radic

2(v0 + v1) for

the minus sign in (26) We will call the states of this kind rdquofragmentedrdquo as being two-particleexamples of the many-body fragmentation phenomenon [28]

Here we consider a one-dimensional system of two bosons in an anharmonic trapping potential

V (x) = wx2 + x4 (27)

For w lt 0 the potential has two wells the depth of which decreases with increasing w undergoinga transition to single-well behavior at w = 0 For w ge 0 the potential shape changes frompurely quartic to a harmonic one in the limit w rarr infin A pleasant feature of one-dimensionalbosonic systems is their solvability for arbitrary trapping potential in the strong repulsion limitAt g1D rarr infin the Nminusboson wave-function may be represented via Bose-Fermi mapping asthe modulus of the wave function of N noninteracting fermions [29] which is known as theTonks-Girardeau gas and provides useful asymptotic results for verifying numerical calculationsperformed at large g1D In the case of a two-particle system the g1D rarrinfin limit of the groundstate wave function is given by ψTG

2Bose(x1 x2) = 1radic2|ψ0(x1)ψ1(x2) minus ψ1(x1)ψ0(x2)| where ψ0

and ψ1 are the two lowest one-particle statesThe harmonic limit of the trapping potential (27) is the easiest to discuss since in this

case the two-particle eigenfunctions φ(r1 r2) are known exactly in an implicit form [30] andthe NOrsquos occupancies may be determined by performing their diagonalization numerically Thethree largest occupancies λ0 λ1 λ2 for the ground state are plotted in Fig4 in function of theinteraction strength At g1D = 0 the value of λ0 equals 1 and only in this case all otheroccupancies do vanish which means that the state of two harmonically confined bosons is non-entangled only if the bosons do not interact The weakly entangled rdquocondensed staterdquo where onlyone NO is significantly occupied is realized only in the case of very weak interaction |g1D| lt 01With increasing |g1D| the entanglement grows which shows up in the smooth increase of λ1 andλ2 at the cost of λ0 for both repulsive and attractive interactions In the repulsive case theoccupancies monotonically approach their Tonks-Girardeau limits λTG

0 asymp 07745 λTG1 asymp 01765

and λTG2 asymp 00414 In this limit all the remaining NOs are also occupied however the sum

of their occupancies is only about 00076 In the case of strongly attractive interaction thesituation is different since the ground state does not tend to the fermion-like state In fact thefermionized state exists but there are infinitely many states of energy lower than this As canbe seen in Fig4 at g1D rarr minusinfin the occupancies of NOrsquos become uniformly small which meansthat in this limit the ground state is maximally entangled

Having obtained a sufficient amount of the coefficients kl we determined the accurateapproximations to the correlation measures discussed in Sect21 The results are presented


9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2

attraction repulsion

Figure 4 The largest occupanciesλ0 λ1 and λ2 for the harmonicallyconfined two-boson system in functionof g1D their Tonks-Girardeau limitsλTG

0 λTG1 and λTG

2 are marked byhorizontal lines

in Fig 5 in comparison with the correlation energy and the Kutzelnigg coefficient All thecorrelation measures grow monotonically with increasing interaction strength |g1D| and all butthe correlation energy remain bounded in the limit g1D rarrinfin

correlation measures

-10 -5 0 5 1000

05

10

15

20

25

attraction repulsiong1D

L

|τ |

SvN

Ec |R|Figure 5 Comparison of the cor-relation energy Ec robustness Rvon Neumann entropy SvN linearentropy L and the Kutzelning coef-ficient τ in function of the interac-tion strength g1D for the two-bosonsystem confined in the harmonic os-cillator potential

The role played by correlations can be examined further by testing the number of NOs thatare needed for accurate determination of the two-particle wave function by the expansion (21)truncated at the nth term ψnNO(x1 x2) The successive approximation to the ground stateenergy EnNO = 〈ψnNO|H|ψnNO〉||ψnNO||2 obtained by including up to four most occupiedorbitals are shown in Fig6 in function of the interaction strength and compared with the exactresult and the GP approximation As |g1D| increases more and more orbitals in the sum (21) arenecessary to obtain a satisfactory approximation to the energy The one-orbital approximationand the GP energy EGP are very close up to |g1D| asymp 5 only for larger values of |g1D| theGP approximation performs slightly better than E1NO However the difference between theexact energy and the GP approximation (correlation energy) starts to be noticeable already at|g1D| gt 01 and grows monotonically for increasing interaction strength This shows that thecorrelation effects may be neglected in determining the ground state energy only in the case ofvery weak interactions

The correlations effects are best visible in the two-boson probability density In Fig7 theapproximate GP two-particle density is compared with the approximations obtained by tak-ing into account one two and three NOs and the exact density for strongly correlated case(g1D = 5) In this case the bosons are located with great probability on diametrical positionswith respect to the center of the trap which shows up in the exact two-particle density TheGP distribution does not capture this behavior The one-orbital approximation differs from theGP approximation but also fails Only after taking three NOs into account the approximatetwo-particle distribution properly describes the exact behavior


10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact

Figure 6 Ground-state energyof the harmonically confined two-boson system in the approximationincluding n natural orbitals (nNO)for n = 1 2 3 4 compared with theGP approximation and the exactresult

Gross-Pitaevskii one orbital two orbitals three orbitals

exact resultapproximations to the two-particle density

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

Figure 7 The GP density |ψGP (x1 x2)|2 (left column) compared with approximations|ψnNO(x1 x2)|2 for n=1 2 and 3 orbitals (three middle columns) and the exact result |ψ(x1 x2)|2(right column) for two harmonically confined boson interacting with the strength g1D = 5

In the case of anharmonic confinement (27) we applied the optimized CI method with theharmonic oscillator one-particle basis (16) to solve the two-boson problem With Ω fixed throughthe stationarity of the trace condition (14) a sufficiently large set of NOs may be obtained so asto determine the von Neumann entropy to a desired accuracy In Fig8 the results are plotted infunction of g1D for several values of the parameter w For w gt 0 when the trapping potentialis single-well shaped the dependence of von Neumann on g1D is similar as in the harmonicconfinement case For decreasing w the increase of the von Neumann entropy becomes morerapid and around w asymp minus3 the character of the dependence changes markedly The deeper is thedouble-well potential the smaller is the value of g1D for which the Tonks-Girardeau behaviorSTG

vN = 1 is approximately achieved This tendency has been observed before for the δ-split [31]and double-well potential [32]

g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12

Figure 8 The von Neumannentropy for anharmonic confiningpotential V (x) = wx2 + x4 for w =1minus1minus2minus3minus5 as a function ofg1D


11

The analysis of the Tonks-Girardeau limit g1D rarrinfin is presented in function of the parameterw in Fig9 The two largest occupancies shown on the left side of the figure approach the Tonks-Girardeau values of the harmonically confined system in the limit of w rarr infin For finite valuesof w the anharmonic term in the potential (27) plays a role being the more important thesmaller is the value of w Below w asymp minus3 when the confinement potential becomes deeplydouble-well shaped the occupancy of the orbital v1 increases more rapidly and for w lt minus5becomes practically equal to the occupancy of the lowest orbital (λ0 asymp λ1 asymp 05) so the state isalmost perfectly fragmented and non-entangled The Tonks-Girardeau limit of the von Neumannentropy in function of w is shown in the right part of Fig9 In the limit of w rarr minusinfin the statebecomes non-entangled as SvN rarr 1 and the Schmidt rank tends to 2 with λ0 asymp λ1 rarr 12However the dependence on w is not monotonous and SvN takes also the value 1 at a finitew but the corresponding ground state is entangled since the values of two lowest occupancies(marked by crosses on the figure) do not sum up to one and the remaining Schmidt eigenvaluesdo not vanish For identical bosons the value of entropy alone is not sufficient to assert whetherthe state is entangled or not which was also observed in the case of delta-split potential [32]

NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0

double-well single-well

HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w

Figure 9 The two largest NO occupancies (left) and the von Neumann entropy (right) in theanharmonic confining potential V (x) = wx2 + x4 in the Tonks-Girardeau limit The limits ofa harmonic confinement w rarr infin (HO limit) and of two independent harmonic wells w rarr minusinfin(2HO limit) are marked

42 Two fermionsA two-dimensional system of charged particles in an anisotropic harmonic potential is commonlyused as a model of a semiconductor QD [1] The Hamiltonian of a two-electron QD is given by

H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)

After rescaling E rarr e4E and ωxy rarr 2e4ωxy the Schrodinger equation takes the form[

2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)

where the dimensionless parameters ωxy denote the ratio of confinement to Coulombicinteraction energies The center of mass motion may be separated out and solved exactlyThe relative motion equation

[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12

is separable in only two particular cases ωx = ωy = ωρ (in polar coordinates) and ωy ωx = 2(in parabolic coordinates) Both cases are quasi-solvable The closed-form solutions exist atparticular values ωρ of the isotropic confinement [33] and at particular values ωy = 2ωx ofthe anisotropic confinement [34] The values of frequencies at which the exact solutions areknown correspond to the weak confinement case (ωxy ltlt 1) where the correlations betweenthe electrons are the strongest and tend to create the so-called Wigner molecules This regime isespecially interesting as the numerical calculations are rather demanding The exact solutionswill thus serve us to check the results of calculation performed by the optimized RR method

We aim to discuss how the anisotropy of confinement influences the entanglement propertiesof the system Considering the two-fermion ground-state with symmetric spatial wave functionwhich corresponds to the singlet spin structure we determined the coefficients kl of theSchmidt decomposition of the two-particle function at different aspect ratios of the confinementfrequencies The resulting von Neumann entropy is presented in Fig10 in function of thedimensionless parameter

radicωminus1

x that represents the ratio of interaction to confinement energiesIt can be seen that for weak interactions the entanglement properties do not depend on theshape of the trap For stronger interactions the dependence on the aspect ratio of harmonicfrequencies grows the von Neumann entropy being smaller at stronger anisotropies

SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1

weak interaction strong interaction

ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1

Figure 10 Von Neumann spatialentropy as a function of

radicωminus1

x

for anisotropy ratios ωxωy =1 11 12 and 2

5 ConclusionWe applied the optimized CI method to calculate spectra of two-particle confined systemsOptimization of the scheme has been done by introducing nonlinear parameters into the functionsof the one-particle basis and fixing their values by minimization of the trace of the truncatedHamiltonian matrix Such optimization strategy proved efficient in solving one-particle problemsto arbitrary precision with the computational cost much lower than that of iterative optimizationof nonlinear parameters In our scheme the desired part of energy spectrum is determined to adesired accuracy in one run and the approximate eigenvectors are mutually orthogonal whichenables effective determination of various system properties

In the two-particle case the optimized CI method enables a direct derivation of the naturalorbital occupancies and determination of entropic entanglement measures Comparison ofvarious entanglement measures has been performed for the ground state of two bosons in a one-dimensional trap The dependence of the von Neumann entropy on the interaction strength hasbeen discussed on the example of anharmonic confinement potential when its shape changes froma harmonic to a deep double-well Influence of anisotropy on spatial entanglement propertieshas been discussed for a singlet ground-state of the two-dimensional QD consisting of twoCoulombically interacting electrons confined in an anisotropic harmonic potential The increaseof correlations with increasing anisotropy has been demonstrated


13

AcknowledgmentsThanks go to Dr PrzemysAtildelaw Koscik for valuable computational assistance and stimulatingdiscussions of the results

References[1] Jacak L Hawrylak P Wojs A 1997 Quantum Dots (Berlin Springer)[2] Pethick C J and Smith H 2002 Bose-Einstein Condensation in Dilute Gases (Cambridge Cambridge

University Press)[3] Bloch I Dalibard J and Zwerger W 2008 Rev Mod Phys 80 885[4] Kinoshita T Wenger T and Weiss D S 2004 Science 305 1125[5] Nielsen M A and Chuang I L 2000 Quantum Computation and Quantum Information (Cambridge Cambridge

University Press)[6] Eckert K Schliemann J Bruszlig D and Lewenstein M (2002) AnnPhys(NY) 299 88[7] Ghirardi G Marinatto L 2004 Phys Rev A 70 012109[8] Lovdin P-O 1959 JMolSpectr 3 46[9] Kutzelnigg W del Re G Bertier G 1968 Phys Rev 172 49

[10] Bennett C H Bernstein H J Popescu S and Schumacher B 1996 PhysRevA 53 2046[11] Grobe R Rzazewski K and Eberly J H 1994 JPhys B 27 L503[12] Wu L-A Sarandy M S Lidar D A and Sham L J 2006 Phys RevA 74 052335[13] Vidal G and Tarrach R 1999 PhysRev A 59 141[14] Reed M and Simmons B 1978 Methods of Modern Mathematical Physics Vol4 (New York Academic) p82[15] Hylleraas E A 1929 ZeitPhys 54 347[16] Rychlewski J and Komasa J 2003 in Explicitly Correlated Gaussian Functions in Chemistry and Physics

(Dordrecht Kluwer) p91[17] Suzuki Y and Varga K 1998 Stochastic Variational Approach to Quantum-Mechanical Few-Body Problems

(Berlin Springer)[18] Hill R N 1995 PhysRevA 51 4433[19] Okopinska A 1987 PhysRevD36 1273[20] Stevenson P M 1981 PhysRevD23 2961[21] Koscik P and Okopinska A 2007 J Phys A Math Theor 40 10851[22] Davidson P M 1932 ProcRSocLondon 130 459[23] Hall R L and Saad N 2000 J PhysA33 569[24] Saad N Hall R L and Katatbeh Q D 2005 JMathPhys A46 022104[25] Amore P Aranda A Fernandez F M and Jones H Phys Lett A340 (2005) 87[26] Koscik P 2009 Doctorrsquos thesis Jan Kochanowski University Kielce[27] Penrose O and Onsager L 1956 Phys Rev 104 576[28] Nozieres P and Saint James D 1982 J Phys (Paris) 43 1133[29] Girardeau M 1960 JMathPhys 1 516[30] Busch T Englert B Rzazewski K and Wilkens M 1998 Found Phys 28 549[31] Murphy D S McCann J F Goold J and Busch T 2007 PhysRev A76 053616[32] Murphy D S and McCann J F 2008 PhysRev A77 063413[33] Taut M 1994 J Phys A Math Gen27 1045[34] Koscik P and Okopinska A 2007 J Phys A Math Theor 40 1045


14

Correlation and entanglement measures in trapped

few-particle systems

Anna OkopinskaInstitute of Physics Jan Kochanowski University Swietokrzyska 15 25-406 Kielce Poland

E-mail okopinfuwedupl

Abstract Quantum correlations in few-particle systems are discussed in dependence on theshape of the external confining potential The energy spectra as well as the natural orbitalsand their occupation numbers are determined by using the optimized configuration interactionmethod Considering the inter-particle interactions of the contact type the comparison ofvarious entanglement measures is given for the full range of interaction strength from stronglyattractive to repulsive values Entropic correlation measures are also discussed for the case oflong-range Coulomb interactions between the particles

1 IntroductionInterest in theoretical studies of few-particle quantum systems has grown enormously in early1980s since their experimental realization in the form of semiconductor quantum dots (QDs) [1]or few-ion systems in electromagnetic traps Other realizations soon became possible due tothe rapid development of trapping techniques for ultracold gases [2] and the application ofoptical lattices to isolate systems containing a few atoms or molecules [3] The possibility ofstudying single few-body objects in these experiments represents a remarkable advantage oversystems existing in nature such as atoms or nuclei that are not directly observable but inferredfrom experiments on macroscopic bodies containing enormous numbers of individuals Anotheradvantage of the artificial structures is that their parameters such as the trapping potentialthe number of constituents N and interaction strength may be controlled at will [2 3] Thepossibility of fabricating low-dimensional artificial few-body structures gave impetus for theirdetailed theoretical studies Two-dimensional systems interacting via Coulomb force are thesubject of interest in connection to semiconducting QDs the perpendicular dimension of which isusually negligible [1] Studies of one-dimensional systems became increasingly popular after theirexperimental realization in ultracold gases [4] The interatomic interaction at low temperaturesmay be considered as a contact one U(r1 r2) = g3Dδ(r1minusr2) with g3D = 4πh2a3D

m and a3D beingthe scattering length Quasi-one dimensional systems are created by using trapping potentialwith the perpendicular confinement length aperp much smaller than the longitudinal one In thiscase the effective interaction potential is well approximated by U(x1 x2) = g1Dδ(x1minusx2) whereg1D asymp 4h2a3D

maperp(aperpminus146a3D) [3] which makes the theoretical description relatively simpleArtificial few-body systems are under intense research for possible applications in quantum

information processing [5] The parallel theoretical and experimental studies give also hope ofbetter understanding the strongly-coupled many-body physics In particular characterizing


ccopy 2010 IOP Publishing Ltd 1






H =Nsum

i=1

minus h2


Nsum

iltj



Nsum

i=1

[minus h2


Nsum

iltj





2



E[ϕϕlowast] =int


[minus h2



(N minus 1)2



[minus h2








(7)



|φ〉 =sum

l

kl|vl〉|ul〉 (8)


ρ = |φ gtlt φ| (9)


3


ρ1 = Tr2ρ ρ2 = Tr1ρ (10)


ρ1 =sum

l


l






k2l log2k

2l = minussum

λllog2λl


λ2l



kl)2 minus 1




α=0

cαψα(r) (12)


Mminus1sum

β=0




(M)α are the



4








5


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

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0 10 20 30 40 50-60

-50

-40

-30

-20

-10

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15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

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igrave

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igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

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agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

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20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14






H =Nsum

i=1

minus h2


Nsum

iltj



Nsum

i=1

[minus h2


Nsum

iltj





2



E[ϕϕlowast] =int


[minus h2



(N minus 1)2



[minus h2








(7)



|φ〉 =sum

l

kl|vl〉|ul〉 (8)


ρ = |φ gtlt φ| (9)


3


ρ1 = Tr2ρ ρ2 = Tr1ρ (10)


ρ1 =sum

l


l






k2l log2k

2l = minussum

λllog2λl


λ2l



kl)2 minus 1




α=0

cαψα(r) (12)


Mminus1sum

β=0




(M)α are the



4








5


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

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0 10 20 30 40 50-60

-50

-40

-30

-20

-10

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15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

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igraveigrave

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20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

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aelig

aelig

aelig

agrave

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20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

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20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14



E[ϕϕlowast] =int


[minus h2



(N minus 1)2



[minus h2








(7)



|φ〉 =sum

l

kl|vl〉|ul〉 (8)


ρ = |φ gtlt φ| (9)


3


ρ1 = Tr2ρ ρ2 = Tr1ρ (10)


ρ1 =sum

l


l






k2l log2k

2l = minussum

λllog2λl


λ2l



kl)2 minus 1




α=0

cαψα(r) (12)


Mminus1sum

β=0




(M)α are the



4








5


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

0 10 20 30 40 50-60

-50

-40

-30

-20

-10

0aelig

aeligaelig

aelig

aeligaelig

aelig

aelig

aelig

aeligaelig

agrave

agraveagrave

agrave

agrave

agrave

agrave

agrave agrave

agrave

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igrave

igraveigrave

igraveigrave

igrave

igrave igrave

igrave

igrave

igrave

15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

aelig

aelig

aeligaelig

aelig

aelig

aelig

agraveagrave

agrave

agrave

agrave

agrave

agrave

agrave agrave

igrave

igrave

igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14


ρ1 = Tr2ρ ρ2 = Tr1ρ (10)


ρ1 =sum

l


l






k2l log2k

2l = minussum

λllog2λl


λ2l



kl)2 minus 1




α=0

cαψα(r) (12)


Mminus1sum

β=0




(M)α are the



4








5


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

0 10 20 30 40 50-60

-50

-40

-30

-20

-10

0aelig

aeligaelig

aelig

aeligaelig

aelig

aelig

aelig

aeligaelig

agrave

agraveagrave

agrave

agrave

agrave

agrave

agrave agrave

agrave

agrave

igrave

igraveigrave

igraveigrave

igrave

igrave igrave

igrave

igrave

igrave

15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

aelig

aelig

aeligaelig

aelig

aelig

aelig

agraveagrave

agrave

agrave

agrave

agrave

agrave

agrave agrave

igrave

igrave

igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14








5


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

0 10 20 30 40 50-60

-50

-40

-30

-20

-10

0aelig

aeligaelig

aelig

aeligaelig

aelig

aelig

aelig

aeligaelig

agrave

agraveagrave

agrave

agrave

agrave

agrave

agrave agrave

agrave

agrave

igrave

igraveigrave

igraveigrave

igrave

igrave igrave

igrave

igrave

igrave

15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

aelig

aelig

aeligaelig

aelig

aelig

aelig

agraveagrave

agrave

agrave

agrave

agrave

agrave

agrave agrave

igrave

igrave

igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14


δ

δΩiTrMH = 0 i = 1 K (14)


H = minus12

d2

dx2+

ω2x2

2+ λxk (15)


d2

dx2 + Ω2x2


〈x|n〉Ω = ψΩn (x) =

(Ωradic

π2nn

) 12

Hn(Ωx)eminusΩ2x2

2 (16)


2d2



(N)n (Ωopt)






(M)n=16] (c)

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

0 10 20 30 40 50-60

-50

-40

-30

-20

-10

0aelig

aeligaelig

aelig

aeligaelig

aelig

aelig

aelig

aeligaelig

agrave

agraveagrave

agrave

agrave

agrave

agrave

agrave agrave

agrave

agrave

igrave

igraveigrave

igraveigrave

igrave

igrave igrave

igrave

igrave

igrave

15 20 25 30

-35

-30

-25

-20

-15

-10aelig aelig

aelig

aelig

aeligaelig

aelig

aelig

aelig

agraveagrave

agrave

agrave

agrave

agrave

agrave

agrave agrave

igrave

igrave

igrave

igrave

igrave

igrave

igraveigrave

igrave

20 25 30

-20

-15

-10

-5

M M M

n = 16

n = 0

k = 2

k = 6

k = 10

k = 2

k = 6

k = 10





H(l) = minus12

d2

dr2+

l(l + 1)2r2

+ V (r) (17)


6


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14


2d2

dr2 + Ω2r2

2 + (γ2minus2γ+34)2r2



Γ(γ)


nrγminus 1

2 eminus12r2Ω



H(l) = minus 12r

d2

dr2r +

l(l + 1)2r2

+ω2r2

2+ λrs (19)


Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-20

-15

-10

Ln[δE(M)]

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

aelig

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

agrave

20 40 60 80 100 120 140

-75

-70

-65

-60

-55

-50

-45

-40

λ2(0) asymp 36926 λ0(0) asymp 007

M M




7

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14

Ln[δE(M)n ]

2 4 6 8 10 12 14

-15

-10

-5

0

level number

trace optimization

ground state

optimization



H = minus h2











jgei






v(minusrarrr ) =sum






A2nm = 1


k2n =





8


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14


φ(r1 r2) = v0(r1)v0(r2) (25)



φ(r1 r2) =1radic2

(v0(r1)v0(r2)plusmn v1(r1)v1(r2)) (26)






2(v0 + v1) for



V (x) = wx2 + x4 (27)










9

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14

NO occupancies

-80 -60 -40 -20 0 20 4000

02

04

06

08

10

g1D

λ0

λ1

λ2

λTG0

λTG1

λTG2



0 λTG1 and λTG




-10 -5 0 5 1000

05

10

15

20

25


L

|τ |

SvN





10

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14

ground state energy

-5 0 5 10

-4

-2

0

2

4


1NO

GP

2NO

3NO

4NO

exact




-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2

-2 -1 0 1 2

-2

-1

0

1

2




g1D

SvN

w=-5

w=-3

w=-2w=-1

w=+1

-2 0 2 4 600

02

04

06

08

10

12



11


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14


NO occupancies

HO limit

HO limit

2HO limit

-6 -4 -2 0 2 4Ω

02

04

06

08

1

Λ1

Λ0


HO limit

2HO limit

times

times

times


SvN

-4 -2 0 2 4 6

0990

0995

1000

1005

1010

w



H =2sum

i=1

[p2

i

2+

12(ω2

xx2i + ω2

yy2i )] +

e2

|r2 minus r1| (28)


2sum

i=1

[minus12nabla2

ri+ 2ω2

xx2i + 2ω2

yy2i ] +

1|r2 minus r1|

]φ(r1 r2) = Eφ(r1 r2) (29)


[minus part2

partx2minus part2

party2+ ω2

xx2 + ω2yy

2 +1radic

x2 + y2]φr = Erφr (30)


12



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14



radicωminus1


SvN

5 10 15 20

08

10

12

14

16

18

Ωx-1


ωyωx = 2

ωyωx = 12

ωyωx = 11

ωyωx = 1


radicωminus1

x





13









14









14

Documents

Correlation and entanglement measures in trapped few