Universal thermodynamics of an SU(N) Fermi-Hubbard Model

Eduardo Ibarra-Garcıa-Padilla,1, ∗ Sohail Dasgupta,1 Hao-Tian Wei,1 Shintaro

Taie,2 Yoshiro Takahashi,2 Richard T. Scalettar,3 and Kaden R. A. Hazzard1

1Rice Center for Quantum Materials, Department of Physics, Rice University, Houston, TX 77005, USA.2Department of Physics, Graduate School of Science, Kyoto University, Japan 606-8502

3Department of Physics, University of California, Davis, CA 95616, USA.(Dated: August 10, 2021)

The SU(2) symmetric Fermi-Hubbard model (FHM) plays an essential role in strongly correlatedfermionic many-body systems. In the one particle per site and strongly interacting limit U/t� 1,it is effectively described by the Heisenberg Hamiltonian. In this limit, enlarging the spin and ex-tending the typical SU(2) symmetry to SU(N) has been predicted to give exotic phases of matter inthe ground state, with a complicated dependence on N . This raises the question of what — if any— are the finite-temperature signatures of these phases, especially in the currently experimentallyrelevant regime near or above the superexchange energy. We explore this question for thermo-dynamic observables by numerically calculating the thermodynamics of the SU(N) FHM in thetwo-dimensional square lattice near densities of one particle per site, using determinant QuantumMonte Carlo and Numerical Linked Cluster Expansion. Interestingly, we find that for temperaturesabove the superexchange energy, where the correlation length is short, the energy, number of on-sitepairs, and kinetic energy are universal functions of N . Although the physics in the regime studied iswell beyond what can be captured by low-order high-temperature series, we show that an analyticdescription of the scaling is possible in terms of only one- and two-site calculations.

I. INTRODUCTION

The Fermi-Hubbard model (FHM), in its original spin-1/2, SU(2) symmetric form [1–3], plays a central role inthe understanding of strongly correlated fermionic many-body systems. This is in part because it is one of the sim-plest models that captures essential features of real mate-rials, and in part because it exhibits a variety of canonicalcorrelated phases of matter. In the two-dimensional (2D)square lattice, it displays a metal-to-insulator crossoveras well as magnetic order, and it is widely studied in thecontext of d-wave superconductivity [4–8].

Its generalization, the SU(N) FHM, features largerspins and enhanced symmetry, and it provides insightinto important strongly correlated systems. First, it is asimple limit of multi-orbital models such as those usedto describe transition metal oxides [9–11], graphene’sSU(4) spin-valley symmetry [12], and twisted-bilayergraphene [13–17]. Second, the SU(N) FHM is predictedto display a variety of interesting and exotic phases evenin very special limits, such as: the conventional N = 2FHM, the N = 3 FHM [18–27], the N = 4 FHM at quar-ter filling [28, 29], even values of N at half-filling [30–37],special N → ∞ limits [38–42], 1D chains [43–49], andthe Heisenberg limit for N = 3, 4, 5 [10, 26, 50–58]. Thisrichness is well illustrated by numerical studies of theHeisenberg limit, which describes the situation where theaverage number of particles per site is 〈n〉 = 1 and the in-teractions dominate the kinetic energy (U � t, with no-tation discussed below). Already in this simple limit andadditionally in the simple 2D square lattice, the model is

∗ eibarragp@rice.edu

predicted to exhibit several phases of matter with noveland difficult-to-explain properties depending on the valueof N . The dependence of the ground state order with Ndoes not follow a simple pattern. This raises the ques-tion of whether and how this complicated N -dependencemanifests in the finite-temperature properties.

Although the SU(N) FHM is a crude approximationto real materials, it has been realized to high precision byloading alkaline earth-like atoms (AEAs) into an opticallattice (OL). Fermionic AEAs (such as 173Yb and 87Sr)feature an almost perfect decoupling of the nuclear spinI from the electronic structure in the ground state, whichgives rise to SU(N = 2I + 1) symmetric interactions withdeviations predicted to be of order O(10−9) [59–63]. Forthat reason, by selectively populating nuclear spin pro-jection states mI of AEAs and loading them into an OL,experiments can engineer the SU(N) FHM with N tun-able, from 2, 3, . . . , 10.

In recent years, experiments with 173Yb in OLs haveprobed the SU(N) FHM’s interesting physics: The Mottinsulator state for SU(6) in three dimensions [64], theequation of state for SU(3) and SU(6) in three dimen-sions [65], nearest-neighbor antiferromagnetic (AFM)correlations in an SU(4) system with a dimerized OL[66], nearest-neighbor SU(6) AFM correlations in OLswith uniform tunneling matrix elements in one, two, andthree dimensions [67], and recently a flavor-selective Mottinsulator for SU(3) [68]. Furthermore, employing quan-tum gas microscopy [69–75] to discriminate finite tem-perature analogs of the variety of proposed ground states[30, 31, 50–55] via direct observation of long-ranged cor-relations [67, 76–78] is expected to reveal a wealth ofphysics. All of these experimental efforts make an un-derstanding of the 2D square lattice thermodynamics ur-gent.

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In contrast with most previous work that focused onthe Heisenberg limit, in this work we study the SU(N)FHM at finite temperature and for a range of interac-tion parameters, including far from the Heisenberg limit,a regime that is both interesting and experimentally im-portant. We calculate and analyze thermodynamic prop-erties of the model as a function of N , the interactionstrength U , and the temperature T . We numerically ex-plore the evolution of the energy, number of on-site pairs(or doublons), and kinetic energy, as well as their deriva-tives in the 2D square lattice SU(N) FHM at 1/N filling,i.e., one particle per site on average.

Some of the quantities we compute, such as the num-ber of on-site pairs are immediately measurable in exper-iment, while others such as the kinetic energy and totalenergy are of fundamental importance and also may alsobecome accessible. For example, Ref. [79] experimen-tally determined the energies of a Bose-Hubbard model.In that work the kinetic energy was measured by analyz-ing time-of-flight images and the interaction energy wasmeasured by site-resolved high-resolution spectroscopy.These techniques can be also used for the FHM. Addi-tionally, in a quantum gas microscope the number of on-site pairs can be spatially resolved by generalizing thetechnique used in Ref. [80] to AEAs. This would re-quire employing an optical (rather than magnetic) Stern-Gerlach technique to split the different spin flavors intodifferent layers, followed by detection by single-site fluo-rescence.

We also present some select results as a function ofchemical potential µ. Results are obtained using the de-terminant Quantum Monte Carlo (DQMC) and Numer-ical Linked Cluster Expansion (NLCE) methods. Hereand throughout we set Boltzmann’s constant to kB = 1.

Although the ground state has a complicated N -dependence, we find that for temperatures above the su-perexchange energy T >∼ J = 4t2/U , the energy, thenumber of on-site pairs, and the kinetic energy dependon N in a particularly simple way, obeying a simple, an-alytic dependence on N .

Even though a simple scaling at very high tempera-tures would be unsurprising — since a low-order high-temperature series expansion (HTSE) would be expectedto be accurate and to produce analytic expressions thatplausibly would show simple N -dependence — such ex-pansions are insufficient to explain our findings. TheHTSE is accurate only for T >∼ 4t, while the universalscaling persists to temperatures T >∼ 4t2/U that are muchlower when U � t. At such temperatures the HTSE isnot only inaccurate, but diverges.

Despite the failure of the HTSE to fully explain theobservations, a simple explanation is possible by recog-nizing that correlations are short-ranged in this temper-ature regime. We show that in this limit, the second or-der NLCE accurately reproduces the results and the Nscaling relation. Furthermore, under controlled approxi-mations in the J � T � U regime one can analyticallyevaluate the pertinent contributions based on the NLCE,

and with this explain the observed universal scaling withN to zeroth order in βJ . This demonstrates the utilityof the NLCE framework for analytic calculations, beyondits typical application in numerical calculations. Theseobservations show that the one- and two-site correlationscontrol the physics deep in this regime.

The remainder of this paper is organized as follows:Section II presents the SU(N) Hubbard Hamiltonian, de-fines the observables we consider, and presents details ofthe numerical and analytical methods used. Section IIIpresents the main results, and Section IV concludes.

II. MODEL AND METHODS

A. The SU(N) Hubbard Hamiltonian andobservables

The SU(N) FHM is defined by the grand canonicalHamiltonian

H = −t∑〈i,j〉,σ

(c†iσcjσ + h.c.

)+U

2

∑i,σ 6=τ

niσniτ−µ∑i,σ

niσ,

(1)

where c†iσ (ciσ) is the creation (annihilation) operator fora fermion with spin flavor σ = 1, 2, ..., N on site i =1, 2, ..., Ns in a 2D square lattice, Ns denotes the number

of lattice sites, niσ = c†iσciσ is the number operator forflavor σ, t is the nearest-neighbor hopping amplitude, Uis the interaction strength, and µ is the chemical potentialthat controls the fermion density.

We are interested in thermodynamic quantities such asthe number of on-site pairs

D =1

2

∑σ 6=τ

〈niσniτ 〉, (2)

the kinetic energy per site

K =1

Ns〈−t

∑〈i,j〉,σ

(c†iσcjσ + c†jσciσ

)〉, (3)

the energy per site E = 〈H/Ns + µn〉 (where n =∑σ niσ), and the entropy S. We present these observ-

ables and the derivatives dE/dT , dK/dT , and UdD/dTas functions of T/t for different values of the interactionstrength U/t either as a function of chemical potentialµ/t or at fixed density 〈n〉 =

∑σ〈niσ〉 = 1. We also

show the compressibility κ = dn/dµ as a function of µfor various T/t, U/t, and N . These observables providevaluable knowledge about the physics: the number ofon-site pairs is a useful measure of the Mott insulatingnature of the system, the kinetic energy of its spatialcoherence, and the entropy and specific heat provide in-formation about the temperature scales at which variousdegrees of freedom cease to fluctuate.

3

B. Numerical methods

To calculate the thermodynamic observables, we em-ploy two numerical techniques, DQMC [81, 82] andNLCE [83, 84], which have complementary strengths, andcompare in some cases with low-order analytic HTSE andthe non-interacting limit. The DQMC and NLCE are of-ten the numerical methods of choice for the SU(2) FHMin the finite-temperature regime studied in ultracold mat-ter [85–89], and we use our extensions of these methodsto SU(N) systems [67]. Generally speaking, the DQMCwill perform best at weak to intermediate interactions,while the NLCE performs best at strong interactions; wepresent both methods where both are viable.

1. Determinant Quantum Monte Carlo (DQMC)

Averages of the thermal equilibrium observables areevaluated with DQMC on 6 × 6 lattices by introducingN(N − 1)/2 auxiliary Hubbard-Stratonovich fields, onefor each interaction term [90]. In this method, the in-verse temperature β is discretized in steps of ∆τ with aTrotter step ∆τ = 0.05/t for U/t = 4, 8 and ∆τ = 0.04/tfor U/t = 12. In order obtain accurate results, we ob-tain DQMC data for 40 − 60 different random seeds forT/t ≤ 4 and for 2−10 different random seeds for T/t > 4.For each Monte Carlo trajectory we perform 2000 warmup sweeps and 8000 sweeps for measurements [91]. In ad-dition, the number of global moves per sweep to mitigatepossible ergodicity issues [92] is set to 2 for U/t = 4, 8and to 4 for U/t = 12. These global moves update, ata given lattice site, all the imaginary time slices thatcouple two spin flavors. DQMC results presented in thepaper are obtained by computing the weighted averageand weighted standard error of the mean of the resultsobtained by using different random seeds. We use the in-verse squared error of each measurement as their weight.Results obtained using a uniform weight for all measure-ments yield consistent results but with larger error bars(∼2-4 times larger). Estimates of systematic errors areobtained for N = 6 at U/t = 12 (Trotter) and N = 6at U/t = 4 (finite-size), where they are expected to beworst. We estimate the Trotter error by comparing theresults obtained with ∆τ = 0.04/t and ∆τ = 0.05/t.Their difference is below 4% for all observables of inter-est at T/t = 0.5. This discretization error is even smallerat higher temperatures and for the other two values ofU/t considered. Finite-size errors are estimated by com-paring results for different thermodynamic quantities in4× 4 and 6× 6 lattices. Their differences are <∼ 6.5% atT/t = 0.5.

2. Calculation of specific heat and entropy in DQMC

For DQMC data we evaluate the specific heat andentropy in two ways. In the first approach, we nu-

merically differentiate the energy to obtain the specificheat (see footnote [93] for details on the differentiationprocedure), and we compute the entropy by integrat-ing dS = dQ/T = C/T dT , with C = dE/dT the specificheat. Integrating by parts, S can be rewritten in termsof the energy E,

S(T ) = S∞ +E(T )

T−∫ ∞T

E(T ′)

T ′2dT ′, (4)

where S∞ is the entropy at fixed density in the limit whenT →∞ (see Appendix A for more details).

The DQMC becomes unreliable at T much below thesuperexchange scale J . In this regime the statistical noiseincreases due to the sign problem, severely limiting cal-culations. In addition to presenting the DQMC calcula-tions directly, we also show results obtained from fittingand from differentiating this smooth fit function, whichcan reduce the noise at the cost of potentially biasing thedata. For the energy, we fit to the simple functional form[94, 95],

E(T ) = E(0) +

M∑k=1

cke−βk∆, (5)

with fitting parameters ck, ∆, and E(0). The number ofparameters ck, M , is chosen to be around 6-12 (slightlyless than one-third of the data points to be fit). Wesmooth the 10 lowest temperature data points using amoving average with a 3-point window fitted with a localfirst order polynomial (Savitzky–Golay filter). Then thedata is fit with Eq. (5), by choosing the fitting parametersthat minimize

Ξ2 =1

Np + 1

Np∑n=1

[E(Tn)− En

]2

+

[S∞ −

M∑k=1

ckk∆

]2 ,

(6)

where Np is the number of data points, and En is theDQMC energy at Tn. The first term ensures a good fitof the data, while the second term regularizes the fit andensures that S → 0 as T → 0 by enforcing the con-

straint S∞ =∫∞

0C(T ′)T ′ dT ′ =

∑Mk=1

ckk∆ [96]. A similar

procedure is used to obtain fits for the number of on-sitepairs and the kinetic energy: Each dataset is fit using thesame form as Eq. (5), subject to the constraint that thederivative of their sum obeys the specific heat sum rule.

Results obtained from fitting remove the noise provid-ing smooth guides to the eye. By construction they alsosatisfy important physical features such as sum rules.However, fitting necessarily biases the results, and shouldbe interpreted with caution. Care is especially warrantedin the high-noise regimes (mainly occurring in the deriva-tive data at the lowest temperatures presented) wherethe fits are used to extrapolate the data. Nevertheless,the fits suggest interesting features and trends that mayhelp guide future low-temperature calculations and ex-periments.

4

3. Numerical Linked Cluster Expansion (NLCE)

Thermodynamic observables are computed using afifth-order site expansion NLCE. We briefly derive andpresent this algorithm, which is reviewed in Ref. [84]. Ex-tensive properties in a lattice are evaluated by perform-ing a weighted sum of their value in all possible clustersc embeddable in the lattice; specifically,

P (L)/Ns =∑c∈L

L(c)WP (c) (7)

where P (L) is the property evaluated on the entire latticeL, Ns is the number of lattice sites, L(c) is the numberof ways that the cluster c can be embedded in the lattice(up to translation invariance), and WP (c) is defined as

WP (c) = P (c)−∑s⊂c

WP (s). (8)

Eq. (7) follows directly from the definition of the WP (c).Eq. (7) is an infinite sum over all clusters, and the keyidea of the NLCE is to truncate this sum to clusters ofsmall size (different variants use different measures ofsize) and evaluate properties on each cluster using ex-act diagonalization (ED). Here we truncate the sum overclusters based on the number of sites, performing calcu-lations up to five site clusters, which shows good conver-gence (see Appendix B).

The Hilbert space dimension increases rapidly with N ,limiting the size of clusters that can be included in theexpansion, and we use multiple methods to reduce thecomputational cost in order to reach 5-site clusters forSU(6). The most straightforward is to account for theSU(N) symmetry, in particular its abelian symmetries(the N conserved flavor numbers) and the flavor permu-tation symmetry. Additionally, for N = 6, we truncatethe Hilbert space in the Fock basis using two criteria: (1)We include only basis states with a number of particlesbelow a cutoff value (chosen to be 6, which is one largerthan the number of sites in the largest cluster), and (2)We include only basis states whose interactions energy isless than a cutoff value (chosen to be 3U). These choicesprovide highly accurate (several decimal places) resultsover the temperature and density ranges of interest in thispaper, though at high temperatures or densities they canbreak down. Appendix C provides details of these trun-cations and the calculations’ convergence.

The NLCE is much more accurate than an exact diag-onalization (ED) that uses the same number of (or evenmore) sites. At all temperatures considered, the 5-siteNLCE calculations are dramatically more accurate than3 × 2 ED calculations in either periodic or open bound-ary conditions to quite low temperatures. In fact, at leastfor temperatures where the NLCE is convergent and thedensity 〈n〉 = 1 case that is our main focus, even a 2-site NLCE calculation outperforms the 3×2 ED, despiterequiring enormously less computational resources. Wenote that this is, to our knowledge, the first application

of NLCE to the SU(N) FHM. The convergence with ex-pansion order and comparisons with ED are discussed inAppendix B.

The NLCE self-diagnoses its accuracy, with convergedresults expected when adjacent orders give nearly thesame answer. Results in the main text are presented forthe highest order computed and the NLCE data is cut-off at temperatures where the three highest consecutiveorders deviate more than 2%.

4. Low-order high-temperature series expansions (HTSE)

It is useful to compare computed observables againstsimple analytic zeroth and second order high temperatureseries in t/T [97]. The region of validity of the HTSE toany order is T >∼ t, yielding unphysical results for T <∼ t.

III. RESULTS

This section presents our main results, the calculationof several thermodynamic observables and analysis of fea-tures observed in them, especially their striking universalN -dependence. Specifically, we calculate the number ofon-site pairs D, the kinetic energy K, the energy E, theentropy S, the specific heat C and the contributions to itfrom the interaction and kinetic energies UdD/dT , anddK/dT , respectively, all defined previously. Mostly wefocus results at a density 〈n〉 = 1, but some results arealso presented as a function of chemical potential µ/twhich causes the density to vary.

This section is organized as follows: Section III Apresents the µ/t-dependence of 〈n〉, D, the compress-ibility κ = ∂〈n〉/∂µ, and the determinantal sign. Thefollowing subsections present the U/t, T/t, and N de-pendence of D (Section III B), K (Section III C), and E(Section III D). Section III E presents the scaling collapsedemonstrating the universal N -dependence of E, D, andK. Section III F presents the temperature derivatives.Finally Section III G presents the U/t, T/t, and N de-pendence of S. Results in Sections III B to III G are allat unit density.

A. Density, number of on-site pairs,compressibility, and determinantal sign dependence

on chemical potential µ/t

Figs. 1(a-b) show the dependence of density ρ = 〈n〉and number of on-site pairs D on the chemical potential.These are particularly important quantities because typ-ical experiments on ultracold atoms use smooth traps,and the µ-dependence of the observables is related totheir spatial dependence by the local density approxi-mation [98]. These are also among the most straight-forward observables to measure, and have been explored

5

−4 −2 0 2 4(µ− µ0)/t

0.6

0.8

1.0

1.2

1.4ρ

(a)

N

2 3 4

N

2 3 4

−4 −2 0 2 4(µ− µ0)/t

0.0

0.2

0.4

0.6

D

(b)

−10 −6 −2 2 6 10(µ− µ0)/t

0.00

0.05

0.10

0.15

0.20

κ

(c)

0.4 0.6 0.8 1.0 1.2 1.4 1.6ρ

0.0

0.2

0.4

0.6

0.8

1.0

dD/dρ

(d)

−10 −6 −2 2 6 10(µ− µ0)/t

0.0

0.2

0.4

0.6

0.8

1.0

〈sign〉

(e)

−20 −10 0 10 20(µ− µ0)/t

0.0

0.5

1.0

1.5

2.0

2.5

3.0

ρ,〈

sign〉

(f)T/t1.0000.8330.7140.625

T/t1.0000.8330.7140.625

FIG. 1. Density’s, number of on-site pairs’, compressibility’s, and determinantal sign’s dependence on chemicalpotential. Panels (a-e) compare observables for N = 2, 3, 4 for U/t = 8 at T/t = 0.5 as functions of the chemical potential(µ− µ0)/t, where ρ(µ0) = 1. (a) Density. There is a clear softening of the Mott plateau as N increases. (b) Number of on-sitepairs. (c) Compressibility. (d) Derivative of the number of doubly occupied sites with respect to the density as a function ofdensity. (e) Average sign. (f) Density (solid) and average sign (dashed) vs (µ− µ0)/t for different values of T/t for N = 6 atU/t = 12. Shaded regions correspond to error bars.

0.0

0.2

0.4

0.6

0.8

1.0

〈sign〉

(a)

N

2

3

4

N

2

3

4

−15 −10 −5 0 5 10 15(µ− µ0)/t

0.00

0.05

0.10

0.15

0.20

κ

(b)U/t

8

12

FIG. 2. Determinantal signs’ and compressibility’s de-pendence on interaction strength. (a) Average sign (b)Compressibility vs (µ − µ0)/t, where ρ(µ0) = 1 for U/t = 8(full markers) and U/t = 12 (open markers) for N = 2, 3, 4 atT/t = 0.5.

experimentally as a function of U/t, N , µ/t, and T/t inRefs. [64, 65].

The density as a function of chemical potential showsa Mott plateau – a region of µ over which the densityis nearly constant – when the temperature is T <∼ U , asshown in Fig. 1(a), signaling the incompressible and in-sulating nature of the system. At fixed temperature, theMott region becomes less sharply defined as N increases.This is expected, as increasing N allows for more densityfluctuations at a given energy and thus a more compress-ible system at a fixed temperature [as corroborated byFig. 1(c)]. The general trend is already seen in the sec-ond order HTSE [97] and was observed experimentally inRef. [65].

Although the Mott plateau softens with increasing N ,appearing only as a subtle shoulder for N = 4 at U/t = 8and T/t = 0.5, if one plots dD/dρ as a function of ρ, thereis a quite sharp and clear signature of the Mott plateaufor all cases, as shown in Fig. 1(d).

We also show the average determinantal sign, whichcharacterizes the sign problem, one of the fundamentallimitations to quantum Monte Carlo calculations of in-teracting fermions [99–101]. For the type of Hubbard-Stratonovich decomposition used in the current study forDQMC, we find the average sign decreases (i.e. the signproblem worsens) overall as N increases and as the tem-perature is lowered [see Figs. 1(e-f)]. On top of this,the sign problem is worse for the metallic phase thanthe Mott insulating phase at a fixed temperature. Fig-

6

ure 2(a) shows that at fixed T/t, increasing U/t worsensthe sign problem in the metal, but improves it in the in-sulator in the currently studied temperature regime. TheN = 2 case is free of the sign problem at half-filling, andtherefore 〈sign〉 = 1 when 〈n〉 = 1 for all values of U/t.

Finally, the U/t dependence of κ for different N isdisplayed in Fig. 2(b). As the U/t increases, the systembecomes more incompressible where 〈n〉 = 1, highlightingthe insulating nature of the system. Our results are inagreement with qualitative trends identified in previousdynamical mean-field theory (DMFT) results [102].

B. Number of on-site pairs at unit density:dependence on U/t, T/t, and N

The number of on-site pairs D decreases as temper-ature is lowered, almost always followed by an increaseat the lowest temperatures. These features show cleartrends with U/t and N as shown in Fig. 3. The trendswith U/t are that, as the temperature is lowered, (1) D issuppressed from its high-temperature value at a temper-ature scale T ∼ U , and (2) D increases at a much lowertemperature that decreases with increasing U/t. Also,as expected, overall larger U/t leads to smaller D, moststrongly in the temperature window between the two fea-tures discussed previously. The trends with N are alsoclear: (1) as N increases, D increases, (2) the tempera-ture at which the low-T increase of D occurs is roughlyindependent from N except for U/t = 8, where is higherfor larger N , and (3) the increase of D as the tempera-ture is decreased through the lower temperature featureis larger for larger N . For sufficiently large U/t, the de-pendence on N is weaker, as shown in Fig. 3(a). Thesefeatures will be explained below.

Although the temperatures are not extremely low,T >∼ 0.1t, the qualitative features are not captured witha low-order HTSE, as shown in Fig. 3(a), which divergesfrom the true results at T/t ∼ 3 or larger. Furthermore,for the temperature regions where NLCE and DQMCare well converged, both methods are in good agreement,supporting the validity and convergence of the differentapproaches.

The T -, N -, and U -dependence of D can be qual-itatively understood by considering the two-site, two-particle (TSTP) system, which was employed to under-stand similar features in the N = 2 anisotropic latticecalculations of Ref. [103]. We begin by describing theT dependence. For T >∼ U , eigenstates with energy∼ U and a large fraction of double occupancies are occu-pied. As the temperature is lowered below U , the eigen-states dominated by one-particle-per-site configurationshave the largest Boltzmann weight and have small admix-ture of doublons, thus explaining the high-temperaturedecrease of D upon cooling. The more interesting low-temperature increase of D is explained by considering thephysics in this sector dominated by one-particle-per-siteconfigurations. In this sector, these low-energy eigen-

states are approximately “SU(2) singlets” on the twosites [∝ (|σ, τ〉 − |τ, σ〉) with σ 6= τ ] or “SU(2) triplets”[∝ (|σ, τ〉+|τ, σ〉) where τ and σ may be equal]. The “sin-glet” states include an admixture ∝ (t/U)2 of doublons,which allows for some delocalization, lowering the kineticenergy and therefore lowering the energy of singlet statesrelative to the triplet ones, which have no admixture ofdoublons. Therefore, as the temperature is lowered belowthe energy scale splitting the singlet and triplet configu-rations, the system populates the singlet states and thenumber of double occupancies increases until it saturates.This low-temperature population of SU(2) singlets alsoleads to the antiferromagnetic correlations observed inRef. [67].

The dependence of D on N can also be understood inthis picture, by considering the number of available waysto form double occupancies. Since the number of possibleconfigurations of m particles on a single site is

(Nm

), the

number of double occupancies is enhanced for N > 2 forall values of the interaction strength and temperature dueto thermal fluctuations and quantum fluctuations (tun-neling) [104].

This argument provides an understanding of the over-all trends of D with T and N , but the U = 4t, N = 2curve is worth further consideration as the sole curve thatdoes not show the low-temperature increase. The reasonfor this is not obvious: that a low-temperature rise wouldbe smaller for small N is explained above, but that it ac-tually turns from a rise to a decrease is not. We notethat this is likely a special feature of not only N = 2and small U/t, but also 2D systems, as when the sys-tem is perturbed away from 2D a low-temperature risein D appears [103]. As such, it is natural to conjecture itis related to Fermi surface nesting (see Fig. 4), which ismost important at small U/t, and which is perfect onlyfor N = 2.

C. Kinetic energy at unit density: dependence onU/t, T/t, and N

The kinetic energy K shows features at similar energyscales as D, as shown in Fig. 5. At high temperatures, thekinetic energy vanishes, and decreases as the temperatureis lowered, in close agreement with the non-interactingcalculations (described momentarily) until T ∼ U . AtT <∼ U the kinetic energy becomes smaller in magni-tude than the non-interacting limit by an amount thatincreases with U . Finally, at the lower temperature scaleon which D rises again, the kinetic energy drops signifi-cantly, signaling the same tunneling processes that createdoublons, explained at the end of Sec. III B.

The non-interacting limit’s behavior is straightforwardto understand: for N = 2 and 〈n〉 = 1, the Fermi sur-face is a perfect square (Fig. 4), and as N is increased thisshrinks and becomes circular. Thus the kinetic energy de-creases as N increases. Fig. 5 shows the non-interacting

7

0.2

0.3

0.40.5

D

U/t = 4

0.1D

U/t = 8

0.1D

U/t = 12

0.1 1 10 100

T/t

0.001

0.01

0.1

D

U/t = 40

N

2

3

4

6

(a)

10−2

10−1

D N = 2

10−2

10−1

D N = 3

10−2

10−1

D N = 4

0.1 1 10 100

T/t

10−2

10−1

D N = 6

U/t

4

8

12

15.3

20

40

(b)

FIG. 3. Number of on-site pairs D versus temperature. (a) Each panel compares D for N = 2, 3, 4, 6 for a fixed U/t at〈n〉 = 1. (b) Each panel compares D for U/t = 4, 8, 12, 15.3, 20, 40 for a fixed N . Solid markers are DQMC, open markers areNLCE, dashed lines are the zeroth order HTSE, and solid lines are fits of Eq. (5) to the DQMC data.

-3 -2 -1 0 1 2 3kx

-3

-2

-1

0

1

2

3

ky

〈n〉 = 1

N

2

3

4

6

FIG. 4. Fermi surface for N = 2, 3, 4, 6 in the 2D squarelattice at 〈n〉 = 1.

limit results (dotted lined)

K =1

(2π)2

∫BZ

ε~kd2k

eβ(ε~k−µ) + 1, (9)

where the integral is over the Brillouin zone and

ε~k = −2t(cos kx + cos ky) is the non-interacting disper-sion (setting the lattice constant to unity). The chemi-cal potential µ is determined numerically to give 〈n〉 =1/(2π)2

∫BZd2k/(eβ(ε~k−µ) + 1) = 1.

D. Total energy at unit density: dependence onU/t, T/t, and N

The total energy E = UD+K (Fig. 6) shows featuressimply related to D and K.

However, a new and surprising feature appears in E:the curves for different N cross at a temperature andenergy (T ∗, E∗) with t < T ∗ < U . Fig. 7 shows that T ∗

first decreases then increases as a function of U/t, whileE∗ first increases, then decreases. In Section III E, wewill see that this crossing is a consequence of an evenmore dramatic phenomena — a universal collapse uponrescaling over a broad temperature range.

The existence and qualitative trends of the crossing canbe understood again by the system with two sites and twoparticles (TSTP), and can be quite accurately describedby the second order NLCE, whose only inputs are theone- and two-site exact diagonalization calculations (apoint we will revisit in Sec. III E).

Within the TSTP, the crossing occurs when E∗ = 0,indicating that for all N ’s, their kinetic and interaction

8

-4.0

-3.0

-2.0

-1.0

0.0K/t

U/t = 4

N

2

3

4

6

-3.0

-2.0

-1.0

K/t

U/t = 8

-2.0

-1.5

-1.0

-0.5

K/t

U/t = 12

0.1 1 10 100

T/t

-0.3

-0.2

-0.1

K/t

U/t = 40

FIG. 5. Kinetic energy vs temperature. Each panel com-pares K for N = 2, 3, 4, 6 for a fixed U/t at 〈n〉 = 1. Solidmarkers are DQMC, open markers are NLCE, dotted linescorrespond to the non-interacting limit, and solid lines arefits of Eq. (5) to the DQMC data.

energies cancel each other at the same T ∗ (see AppendixD for details). When we include higher particle numbersin the two-site problem, there is a small contribution tothe energy from eigenstates that present multiple dou-ble occupancies and/or higher-than-double occupancies.Their contribution accounts for a constant positive shiftin the energy for all N ’s, implying that the crossing oc-curs at E∗ > 0. The second order NLCE is a linear com-bination of the one-site and two-site results. The one-siteresult contributes another constant positive shift for allN ’s to E. Together, the second order NLCE clearly re-produces the trends displayed in Fig. 7, where we presentE∗ and T ∗ as a function of the interaction strength.

E. Universal N-dependence of energy, number ofon-site pairs, and kinetic energy

In this section, we show that the crossing point of E vsT for all N in Fig. 6 is actually a consequence of a muchstronger universal scaling relation that determines theN -dependence of all the observables studied here to tem-peratures well below the crossing temperature (thoughnot arbitrarily low), down to a temperature comparableto the superexchange energy 4t2/U . We find that the

-2.0

-1.0

0.0

1.0

E/t

U/t = 4

-1.5

-0.5

0.5

1.5

2.5

E/t

U/t = 8

-1.00.01.02.03.04.0

E/t

U/t = 12

0.1 1 10 100

T/t

0.0

3.0

6.0

9.0

12.0

E/t

U/t = 40

N

2

3

4

6

FIG. 6. Energy vs temperature. Each panel compares Efor N = 2, 3, 4, 6 for a fixed U/t at 〈n〉 = 1. Solid markers areDQMC, open markers are NLCE, solid lines are fits of Eq. (5)to the DQMC data, and vertical regions in black indicate thetemperature window where the different N curves intersect.

energy satisfies

E(T,N) = E(T,∞) + (1/N)E1(T ) (10)

for some E1(T ) independent of N over a broad range oftemperature. This is shown in Fig. 8 by a universal col-lapse of appropriately constructed quantity E, and wewill discuss the features of this collapse more momen-tarily. First, to understand E’s construction, note thatEq. (10) is equivalent to

E(T,N) ≡ E(T,N)− (1/N)E1(T ) (11)

being independent of N , since the right hand side is sim-ply E(T,∞). Fig. 8 plots this E, taking

E1(T ) =E(T,N1)− E(T,N2)

(1/N1)− (1/N2)(12)

for N1 = 2 and N2 = 3. When Eq. (10) is satisfied, theE1(T ) obtained would be the same for all choices of N1

and N2; we choose N1 = 2 and N2 = 3 as they are theleast noisy datasets and span the largest range of temper-atures, but the overall collapse is observed independent ofthis choice. The analysis of scaling is inspired by similarscalings discovered in the spectra of strongly correlatedmaterials in Ref. [105]. We observe that Eq. (10) has theform of a first order Taylor expansion of E(T,N) in 1/N ;

9

0 5 10 15 20 25 30 35 40

U/t

2.0

2.5

3.0

3.5

4.0

4.5

5.0T∗ /t

T ∗/t

E∗/t

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

E∗ /t

DQMC/NLCE

2nd order NLCE

FIG. 7. Interaction dependence of the energy crossing.Temperature (red circles) and energy (blue squares) where thecurves for different N cross in Fig. 6. Error bars correspondto the width of the crossings. Dashed lines correspond to thesecond order NLCE.

-2.0-1.5-1.0-0.50.00.5

E/t

U/t = 4

2nd order HTSE

2nd order NLCE

DQMC/NLCE

-1.5

-1.0

-0.5

0.0

0.5

E/t

U/t = 8

N

2

3

4

6

-0.75

-0.25

0.25

E/t

U/t = 12

0.1 1 10

T/t

-0.15

-0.05

0.05

E/t

U/t = 40

FIG. 8. Universal dependence of energy on N . Evs temperature for several N at fixed U/t = 4, 8, 12 at〈n〉 = 1. Solid lines correspond to numerical data: DQMCfor U/t = 4, 8, 12 and NLCE for U/t = 40. Shaded regionscorrespond to error bars obtained by error propagation inEq. (11). Dashed lines correspond to 2nd order HTSE cal-culations and dotted lines correspond to 2nd order NLCE.Solid vertical lines indicate the temperature where the differ-ent N curves intersect and dotted vertical lines indicate thesuperexchange energy J .

from this point of view, the remarkable aspect of the datacollapse is that (in an appropriate temperature window)it accurately describes the physics even when 1/N is notsmall (e.g. for N = 2).

Figure 8 shows that E is independent of N at tem-peratures T >∼ J ≡ 4t2/U for all U studied here, andtherefore E(T,N) has the simple N -dependence given by

Eq. (10). Below T ∼ J , E no longer collapses, signalinga more complicated N -dependence. One consequence ofthe universal scaling is that the thermodynamics in thistemperature regime can be obtained for any N from theresults for N = 2 and 3 (or any two N). This is con-venient for several reasons: The Hilbert space of SU(2)is more manageable for numerical calculations, and be-cause numerical methods such as DQMC are free of thesign problem at 〈n〉 = 1 for SU(2).

One natural attempt to explain the observed scalingwould be the HTSE, since this is expected to be accu-rate at high temperatures; however, although E calcu-lated with the second order HTSE collapses, it deviatesstrongly from the data at T <∼ 5t [Fig. 8], so it can-not explain the collapse to the lowest temperatures ob-served (0.1t to t, depending on the value of U). In con-

trast, as Fig. 8 shows, the second order NLCE’s E notonly collapses, but accurately reproduces the numericalresults for all temperatures where the collapse occurs,thus providing a simple and effectively complete calcula-tional tool to obtain the scaling, albeit not an analyticone. That the second order NLCE reproduces the datain the scaling regime allows us to infer characteristics ofthe physics. The first thing to notice is that the sec-ond order NLCE can capture one- and two-site nearest-neighbor correlations, but no longer-ranged correlations.Thus, one-site physics and nearest-neighbor correlationssuffice to capture the physics in the regime where col-lapse occurs. This provides interesting insight into thephysics, and explains why the collapse occurs at T >∼ J :this is the characteristic energy scale for correlations inthe 〈n〉 = 1 system (at least when U/t is large) and thuslonger range correlations only develop at temperaturesbelow J . Note that this also lets us understand why thecollapse is not captured by the second order HTSE: thismisses two-site correlations that are O(βt)3 or higher.Such non-perturbative effects are strong in the regime4t2/U <∼ T <∼ t and not easily captured at any order ofthe HTSE, which diverges for T <∼ t.

By examining the second order NLCE and simplify-ing it by taking advantage of the range of temperaturesbeing considered, we can also arrive at an analytic ex-planation of the scaling phenomena. Although NLCEis typically used as a numerical method, at low-enoughorder and in simplified limits, it may provide simple ana-lytic expressions. Indeed, in the present case, we show inAppendix D that the energy in the second order NLCEin the temperature range 4t2/U � T � U is given, tozeroth order in βJ , by

E(T,U,N) ≈ −J +1

NJ. (13)

10

-4.0

-3.0

-2.0

-1.0

0.0

K/t

U/t = 4

2nd order HTSE2nd order NLCEDQMC/NLCE

-3.0

-2.0

-1.0

K/t

U/t = 8

-2.0

-1.5

-1.0

-0.5

K/t

U/t = 12

0.1 1 10 100

T/t

-0.3

-0.2

-0.1

K/t

U/t = 40

N23

46

0.2

0.3

0.40.5

D

U/t = 4

2nd order HTSE2nd order NLCEDQMC/NLCE

0.1D

U/t = 8

0.1D

U/t = 12

0.1 1 10 100

T/t

0.001

0.01

0.1

D

U/t = 40

N

2

3

4

6

(a) (b)

FIG. 9. Universal dependence of number of on-site pairs and kinetic energy on N . (a) D (b) K vs temperature forseveral N at fixed U/t = 4, 8, 12 at 〈n〉 = 1. Solid lines correspond to numerical data: DQMC for U/t = 4, 8, 12 and NLCEfor U/t = 40. Shaded regions correspond to error bars obtained by error propagation in analogs of Eq. (11). Dashed linescorrespond to 2nd order HTSE calculations and dotted lines correspond to 2nd order NLCE. Dotted vertical lines indicate thesuperexchange energy J .

We note the additional condition that T � U not pre-viously noted; indeed, there are small deviations of thedata from collapsing in the T ∼ U regime. Finally, whenT � U the collapse is again recovered, since K → 0 andD ∝ 1/N in that regime (see footnote [104]). In sum-mary, the parametrically accurate collapse for the twoseparate regimes 4t2/U � T � U and T � U is interpo-lated to a quite accurate collapse, though not paramet-rically so, for all T � 4t2/U , as seen in the data.

Although we only analytically show the scaling ofEq. (10) to leading order in J/T and T/U (i.e., deepin the J � T � U regime), numerics seems to indicatethe collapse holds beyond this. Explaining this is an openproblem. Despite lacking a simple analytic formula, thesecond order NLCE reproduces all of the behavior, offer-ing a simple predictive theory for the thermodynamics inthe T >∼ J regime.

The observables D and K show a similar universal N -dependence, satisfying analogs of Eq. (10), as demon-

strated in Fig. 9(a-b) by showing the collapse of D and

K defined analogously to E. These are also reproducedby the second order NLCE and its analytic simplificationsin the temperature window of interest. The U/t = 4 re-sults exhibit a window around T = t where the 2nd orderNLCE weakly breaks the collapse (< 4%), but is then re-

covered at lower temperatures around T/t = 0.2, wherethe DQMC data collapses too. Why the U/t = 4 resultscollapse even for T <∼ 4t2/U remains an open questionand merits further exploration.

F. Temperature derivatives at unit density:C = dE/dT , UdD/dT , and dK/dT

We now present the derivatives of the energy E, in-teraction energy P = UD, and the kinetic energy K.The specific heat (dE/dT ) as a function of temperatureis a valuable thermodynamic observable since its peaksindicate temperatures below which the entropy is signifi-cantly reduced as degrees of freedom reorganize and ceaseto fluctuate.

The specific heat as a function of temperature [seeFig. 10(a)] presents a two-peak structure for N = 2; forother N a high-temperature peak is present in all cases,and in most an upturn occurs at lower temperatures, ne-cessitating a second peak at lower temperatures beyondthe range of our calculations since C → 0 as T → 0.At least at large U/t, the origin of the high-temperaturepeak is associated with freezing of the charge fluctuationsas the temperature is lowered, while the low-temperature

11

0.0

0.5

1.0C

U/t = 4

0.0

0.5

1.0

1.5

C

U/t = 8

0.0

1.0

2.0

C

U/t = 12

0.1 1 10 100

T/t

0.0

0.5

1.0

C

U/t = 40N

2

3

4

6

0.0

0.2

0.4

0.6

C

N = 2

0.0

0.5

1.0

1.5

2.0

C

N = 3

0.0

0.5

1.0

1.5

2.0

C

N = 4

0.1 1 10 100

T/t

0.0

0.5

1.0

1.5

2.0

C

N = 6 U/t

4

8

12

15.3

20

40

(a) (b)

FIG. 10. Specific heat versus temperature. (a) Each panel compares C for N = 2, 3, 4, 6 for a fixed U/t. (b) Each panelcompares C for U/t = 4, 8, 12, 15.3, 20, 40 for a fixed N . Solid markers are DQMC, open markers are NLCE, dotted linescorrespond to the non-interacting limit, dashed lines are the zeroth order HTSE, and solid lines come from the fit (5) to theDQMC data in Fig. 6. Dotted vertical lines indicate the superexchange energy J .

peak is associated with the onset of spin correlations, ashas been shown for N = 2 [94, 103] and will be evidentfrom our results on dP/dT and dK/dT . For strong in-teractions, the high-temperature peak is closely in agree-ment with the results of the zeroth order HTSE and isroughly independent of N , with just small changes of am-plitude at small U/t. The upturn of C as T/t is loweredtowards a presumable low-temperature peak (though notdirectly accessible in the data for N ≥ 3) depends on Nand U/t. The upturn seems to grow with N , and it gen-erally decreases with U/t, although at the lowest tem-peratures, there may be a complicated non-monotonicdependence. The extent to which the trends of the up-turn are either a reflection of the temperature at whichthe low-T peak occurs or result from changes in the am-plitude of the low-T peak cannot be assessed with thecurrent data, and is an interesting question for futuretheory and experiment.

The final feature of the specific heat that we analyzeis motivated by Ref. [94]’s finding that the specific heatversus temperature curves cross around T/t ≈ 1.6 forall U/t ∈ [1, 10] for N = 2. Fig. 10(b) shows thatthis remains true for other values of N , with nearly thesame value of the crossing temperature. However, wenote that this crossing only occurs for U/t <∼ 10, andfails for U = 15.3t and larger. The physical significance

of this crossing is unclear. Several Refs. [94, 106–110]have seen this crossing in 2 dimensions (in square, hon-eycomb, and asymmetric [t↑ 6= t↓] Hubbard models) at(C∗, T ∗) ≈ (0.34, 1.6t) but all are at relatively small U/t.For small U/t Ref. [107] shows that the presence of suchhigh-T crossing arises if one approximates two parame-ters as small: 1/d (where d is the dimension) and theintegral over the deviation of the density of states froma constant value [105].

Examining the contributions dP/dT and dK/dT to thespecific heat helps disentangle the contributions to thespecific heat of the charge and spin degrees of freedom.In Fig. 11(a) the dP/dT data for U/t ≥ 8 exhibit a high-T charge peak and a negative dip at lower T/t for allN . For such interactions, the high-T peak in the specificheat comes from dP/dT . For U/t = 4 and N = 2 thereis a low-T peak in dP/dT , which gives rise to the low-Tpeak in the specific heat. For U/t = 4 and N > 2, the fitssuggest the existence of a dip and then a peak as temper-ature is lowered, however drawing firm conclusions hererequires further studies.

In Fig. 11(b), the dK/dT data for all values of the in-eraction strength are positive and exhibit a low-T peak,or a low-T upturn which implies the existence of a peaksince dK/dT → 0 as T → 0. The magnitude of theupturn or peak increases with N . For U/t ≥ 8 the low-

12

-0.5

0.0

0.5dP

/dT

U/t = 4

-2.0

-1.0

0.0

dP

/dT

U/t = 8

-4.5

-3.0

-1.5

0.0

dP

/dT

U/t = 12

N

2

3

4

6

0.1 1 10 100

T/t

-0.2

0.0

0.2

0.4

dP

/dT

U/t = 40

0.0

0.5

1.0

1.5

dK

/dT

U/t = 4

N

2

3

4

6

0.0

1.0

2.0

3.0

dK

/dT

U/t = 8

0.01.02.03.04.05.0

dK

/dT

U/t = 12

0.1 1 10 100

T/t

0.0

0.2

0.5

0.8

dK

/dT

U/t = 40

(a) (b)

FIG. 11. Contributions to the specific heat vs temperature. Each panel compares (a) dP/dT (b) dK/dT for N = 2, 3, 4, 6for a fixed U/t. Solid markers are DQMC, open markers are NLCE, and solid lines come from the fit (5) to the DQMC datain Figs. 3(a) and 5. Dotted vertical lines indicate the superexchange energy J .

T peak (or upturn) in the specific heat arises from thespin degree of freedom, seen in dK/dT [Fig. 11(b)]. To-gether dP/dT and dK/dT give Fig. 10(a). These resultscomplement the ones presented in Refs. [94, 103], whichdemonstrate that for N = 2, at small U/t the low-T peakarises from dP/dT as opposed to dK/dT in the large U/tlimit. The results presented here imply the same con-clusion for all N studied in this work: at large U/t thelow-T peak arises from dK/dT and the high-T peak fromdP/dT , while at small U/t the low-T peak comes fromdP/dT and the high-T peak from dK/dT .

G. Entropy at unit density: dependence on U/t,T/t, and N

Figure 12(a) shows the N -dependence of the entropyper site as a function of T for each U/t studied. Forall values of the interaction strength we observe that fortemperatures above the superexchange energy, at fixedentropy, the system with larger N is at a lower tem-perature. These results are in agreement with [97, 111],highlighting that gases adiabatically loaded into an op-tical lattice in this regime will have a significantly lowertemperature as N is increased. For U/t = 4 this coolingseems to occur for all values of T/t and N . However, forU/t ≥ 8, the curves roughly collapse below T <∼ 4t2/U ,

at least for N > 2, suggesting that for 2D square lattices,the dramatic benefits in cooling to the superexchange en-ergy scale will be less effective when cooling well belowthis scale. We note that this doesn’t rule out the coolingwith increasing N persisting to arbitrarily low tempera-tures in other geometries, for example as been shown in1D chains [47].

Figure 12(b) shows the same entropy per site’s U -dependence as a function of T for each N studied. Foreach N there is a crossing at finite temperature for allU/t. The location of this crossing occurs at higher en-tropy and T for larger N .

IV. CONCLUSIONS

We have explored the evolution of thermodynamic ob-servables of the SU(N) Fermi-Hubbard model as a func-tion of temperature T , interaction strength U/t, and thenumber of flavors N at 〈n〉 = 1. DQMC and NLCE pro-vide accurate results over a wide range of temperatures,including temperatures roughly an order of magnitudebelow the tunneling t, with the exact value depending onN and U/t. Neither method is able to access arbitrarilylow-temperatures, but the obtained results are far be-yond what is accessible to low-order HTSE methods orED, which have serious inaccuracies even at T >∼ 5t. The

13

0

1

2

S/N

sU/t = 4

0

1

2

S/N

s

U/t = 8

0

1

2

S/N

s

U/t = 12

0.1 1 10

T/t

1

2

S/N

s

U/t = 40 N

2

3

4

6

0.00

0.50

1.00

S/N

s

N = 2

0.00

0.50

1.00

1.50

S/N

s

N = 3

0.00

0.50

1.00

1.50

2.00

S/N

s

N = 4

0.1 1 10

T/t

0.000.501.001.502.002.50

S/N

s

N = 6U/t

4

8

12

15.3

20

40

(a) (b)

FIG. 12. Entropy per site vs temperature. (a) Each panel compares S/Ns for N = 2, 3, 4, 6 for a fixed U/t. (b) Eachpanel compares S/Ns for U/t = 4, 8, 12, 15.3, 20, 40 for a fixed N . Solid markers are DQMC, open markers are NLCE, and solidlines come from the fit Eq. (5) to the DQMC data in Fig. 6. Solid vertical lines indicate the temperature where the differentU/t curves intersect and dotted vertical lines indicate the superexchange energy J .

DQMC and NLCE agree where their regimes of conver-gence overlap, further boosting confidence in the accu-racy of the numerics. Some results were also presentedin Fig. 1 for the dependence of 〈n〉, D, and average deter-minantal sign as a function of µ/t, as well as quantitiesderived from these.

A striking finding is the existence of a simple scalinglaw with N for T >∼ J for E, D and K. We show thatthis observed scaling can be reproduced by the secondorder NLCE, which takes as input only one- and two-sitecorrelations and information about the lattice geometry,and in the appropriate regime this provides analytic ex-pressions for the observed results. Furthermore, we showthat this regime is well beyond the second order HTSE.Although the numerics cannot provide accurate resultsto arbitrarily low temperature, accurate results for E,K, and D are attained for all N studied to temperatureswhere strong correlations are present. For example, thetemperatures reached for all N are slightly lower thanrecent experiments on the 2D SU(2) FHM [73] that ob-served correlations that spanned the entire (∼ 15-sitewide) system. Short-ranged correlations in the SU(6)FHM have been observed in Ref. [67], and longer-rangedcorrelations will be an interesting subject for future work.For example, Ref. [112] found a unifying pattern for allN in the Heisenberg limit at high temperatures: spin

correlations are organized in shells of equal Manhattandistance and for N = 3, they evolve from a two sublatticestructure to a three sublattice structure as temperatureis lowered. The thermodynamic results provided hereprovide a foundation for studying such phenomena.

Furthermore, the exploration of the specific heat andits contributions provided additional information aboutthe N -dependence of the degrees of freedom that fluctu-ate in the temperature regime studied, and the special-ness of the N = 2 case, possibly due to the perfect nest-ing. Our results show that the behavior of C, UdD/dT ,and dK/dT are all qualitatively similar for all N , withonly the location and height of peaks shifting. The hightemperature peaks (at T ∝ U) are roughly independentof N , while the low-temperature behavior shows a de-pendence on N . The details of the latter are difficult toresolve with current numerical capabilities, and point tointeresting future numerical and experimental directions.

Finally, the results for the entropy have important im-plication for the observed dramatic cooling of SU(N)FHM systems as N is increased at fixed entropy [47, 64,97, 111], which has been designated Pomeranchuk cool-ing. This has been important for achieving the lowesttemperatures in Fermi-Hubbard models by using SU(6)gases [67]. Although this effect was shown theoreticallyat T >∼ t using a HTSE [97] and experimentally [64, 67]

14

and theoretically in 1D down to much lower tempera-tures [47], our results here indicate that as one reachesvery low temperatures, the cooling as N increases be-comes less pronounced in 2D square lattices. In particu-lar, Fig. 12(a) suggests that when in the regime with Twell below the superexchange energy 4t2/U , the temper-ature may be nearly independent of N at fixed entropy.However, this conclusion is reached in a regime wherethe noise in the numerical results is large and systematiceffects may not be fully under control, so further workwill be important to settle this question. Moreover, thisis a lattice- and parameter-dependent phenomenon, as itis known in 1D chains that the cooling with increasingN persists to arbitrarily low temperatures [47].

ACKNOWLEDGMENTS

The work of EIGP, SD, HW, and KRAH was sup-ported by the NSF PHY-1848304 and the Robert A.Welch Foundation C-1872. This work was supportedin part by the Big-Data Private-Cloud Research Cyber-infrastructure MRI-award funded by NSF under grantCNS-1338099 and by Rice University’s Center for Re-search Computing (CRC). The work of RTS was sup-ported by the grant DE-SC0014671 funded by the U.S.Department of Energy, Office of Science. The work of STand YT was supported by the Grant-in-Aid for ScientificResearch of JSPS (No. JP18H05228) and JST CREST(No. JP-MJCR1673).

Appendix A: Chemical potential and entropy atfixed density when T →∞

In order to compute the entropy using the results fromDQMC at fixed density 〈n〉 using Eq. (4), we need toknow a priori what is the entropy when T → ∞. Thisdepends on the chemical potential at T → ∞, which wecan analytically determine from the condition that 〈n〉is fixed. As T/t → ∞, the zeroth order HTSE capturesthe behavior of 〈n〉 and it can be used with the condi-tion 〈n〉 = ρ to determine the chemical potential. When

T � U , the density is ρ = 1Z

∑n n(Nn

)eβµn, defining

Z =∑n

(Nn

)eβµn. Then

ρ =d logZ

d(βµ)(A1)

=d

d(βµ)

[log[(1 + eβµ)N

]](A2)

= Neβµ

1 + eβµ. (A3)

Solving for βµ, we obtain

βµ(N, ρ) = ln

(ρ

N − ρ

). (A4)

Using this result in the zeroth order HTSE for S givesthe T →∞ entropy per site S∞(N, ρ):

S∞(N, ρ) = ln

[N∑n=0

(N

n

)(ρ

N − ρ

)n]− ρ ln

(ρ

N − ρ

),

(A5)

= N ln

(N

N − ρ

)− ρ ln

(ρ

N − ρ

). (A6)

Appendix B: Convergence of NLCE as number ofsites increases, and comparison with ED

We investigate the convergence of the NLCE with ex-pansion order, and we demonstrate that it is significantlymore accurate than ED, even when the ED is performedon larger clusters (and therefore requires more computa-tional resources) than the NLCE. We focus on two cases:U/t = 0 which offers an analytic solution for compar-ison [Fig. 13(a)] and U/t = 15.3 [Fig. 13(b)], both for〈n〉 = 1. Fig. 13(a) shows that the 6-site (3× 2) ED cal-culations for U = 0, whether with open-boundary or peri-odic boundary conditions, has noticeable deviations fromthe exact analytic result at temperatures T/t <∼ 20. Eventhe very low-order 2-site NLCE converges accurately tomuch lower temperature, T/t <∼ 3. Increasing the orderof the NLCE calculation leads to results that convergedown to still lower temperature. Note that the NLCEcalculation is self-diagnosing: even without appealing tothe analytic result, the NLCE demonstrates its accuracywhen adjacent NLCE orders agree with each other. Forexample, when the order 4 and order 5 results closelyagree with each other, then they also agree with the an-alytic result. This is consistent with earlier findings inother models [84, 113].

Now we show similar results for U/t = 15.3 whereno analytic result is available. The self-diagnosis of theNLCE demonstrates the convergence of 2-site NLCE toT ∼ 0.4t, and lower temperatures upon increasing the or-der. Again, the NLCE converges down to a much lowertemperature than the ED, which shows significant devia-tions due to finite-size effects already at T/t >∼ 2. Theseresults show that even numerically inexpensive NLCEcalculations (2- or 3-sites) accurately converge to muchlower temperatures than the much more expensive 6-siteED.

Appendix C: Basis truncation in the NLCE

The Hilbert space dimension for the SU(N) systemimposes a severe limit on ED and NLCE if implementednaively, and this difficulty increases dramatically withN : the Hilbert space dimension is 2NNs , where Ns isthe number of lattice sites, reaching a nearly intractabledimension of 224 already for SU(6) at 4 sites. Accounting

15

−2.0

−1.5

−1.0

−0.5

0.0

E/t N = 2

NLCE 2

NLCE 3

NLCE 4

NLCE 5

ED PBC

ED OBC

Analytic

0.1 1 10 100

T/t

−3

−2

−1

0

E/t N = 3

0

1

2

3

E/t N = 2

NLCE 2

NLCE 3

NLCE 4

NLCE 5

ED PBC

ED OBC

0.1 1 10 100

T/t

0

1

2

3

4

5

E/t N = 3

(b)

(a)

FIG. 13. Convergence of NLCE with expansion order5 and comparison with ED. Energy vs T/t at 〈n〉 = 1for (a) U = 0 (b) U = 15.3t for SU(2) and SU(3). TheED is evaluated in a 3× 2 lattice for both open and periodicboundary conditions. (a) The NLCE converges to the analyticresult (the solid line) to much lower T/t than either of the EDresults. (b) The NLCE curves converge to each other at muchlower temperatures than the ED curves collapse on each otheror on the NLCE results, signaling that the NLCE convergesto significantly lower temperatures than the ED.

for the SU(N) symmetries ameliorates this considerably,but the basic difficulty remains.

To alleviate these problems for N = 6 where the dif-ficulties are worst, we employ a basis truncation schemefor the ED used in the NLCE; this truncation was first in-troduced for ED in Ref. [67], and it can provide accurateresults with negligible truncation error in the physicalregime we consider, 〈n〉 <∼ 1, U/t >∼ 1, and T/U not toolarge. To understand this scheme, note that eigenstateswith significant weight on flavor-number basis states withlarge interaction energy will be highly suppressed in thethermal average by the Boltzmann factor for that eigen-state. Thus we restrict the basis states to those with in-teraction energy less than or equal to pU for a constantp that we choose to obtain sufficient accuracy while re-maining computationally feasible. In addition, by a sim-ilar logic, we restrict the maximum number of particlesin the cluster. In the main text, we choose p = 3 and amaximum particle number of 6 (one more particle thanthe maximum number of sites used in the NLCE), andthe truncation error is negligible at low-T but increasesas T increases (details below).

Fig. 14 illustrates the accuracy of NLCE with maxi-mum particle number restriction, and also the new nu-merical issues the truncation introduces, by comparingresults for maximum number of particles = 6, 8 and 10and the unrestricted result for SU(3) at U/t = 15.3 and〈n〉 = 1. Results are plotted to temperatures a bit pastwhere the truncations are accurate so that the effects ofthis restriction are visible. The feature apparent fromthe truncation is that as the temperature is increased,the results with particle number restriction deviate fromthe correct answer. This is expected: as temperatureis increased, the Boltzmann weight on basis states withmore particles increases. A less obvious feature is thatthe temperature above which the restriction fails to beaccurate actually decreases as the NLCE order increases.This is because the NLCE relies on cancellation of finite-size errors when combining results from many clusters toobtain accurate results, and the number of clusters usedincreases with NLCE order, and thus so does the requiredlevel of cancellation. The truncation of maximum num-ber of particles interferes with the exact cancellation, andis magnified by the NLCE procedure by an amount thatgrows with the number of contributing clusters. Thus,there is a finite window over which the NLCE results arehighly converged: the particle number truncation con-strains the results to being accurate below some tem-perature, while the finite-size clusters used in the NLCEconstraint the results to being accurate above some tem-perature. For the SU(3) results [Fig. 14] this window isroughly from T/t = 0.2 to 1 for maximum number of par-ticles of 6 and 5-site NLCE, as seen through comparisonto the results without the restriction. We also observethat the NLCE self-diagnoses its failure due to this re-striction similar to how it diagnosed the failure due tothe finite number of clusters used: when results with dif-ferent particle number truncations agree, the calculation

16

0.1 1 10 100

T/t

0

1

2

3

4

5E/t

N = 3

NLCE order, max. # of particles

2,6

2,8

2,10

3,6

3,8

3,10

4,6

4,8

4,10

5,6

5,8

5,10

5,No truncation

FIG. 14. Convergence of NLCE with restriction ofmaximum number of particles. Energy vs T/t plot atU = 15.3t for SU(3). Different curves are different NLCEorders from 2 to 5, and restriction of maximum number ofparticles to 6, 8 and 10, as indicated in the legend. The diver-gence of NLCE at low-temperature is due to the finite-orderof the expansion, while the divergence at high-temperature isdue to particle number truncation.

is accurately converged.

Fig. 15 illustrates the effects of the interaction-energy-based basis truncation on top of maximum particle num-ber restriction to 6 by comparing the results for p = 3and p = 4 truncations to the non-truncated result forSU(3) at U/t = 15.3. The additional effects are negli-gible for NLCE orders 4 and 5. This is not surprisingsince for a 5-site cluster a particle number restriction of6 already discards most states with highly occupied sites(doublons and higher) and a further restriction of basisstates with interaction energy < 3U serves mainly to dis-card triplon and and higher states which have very smallBoltzmann weights in the region of interest. Thus, thisadditional truncation significantly reduces computationaltime, while introducing negligible additional numericalerrors. The self-diagnosis of the NLCE is apparent hereas well, which we use to analyze the N = 6 results, whereresults without truncation are unavailable [Fig. 15 (bot-tom)]. When adjacent orders and different truncationsagree, the NLCE is converged. We see the same trendsfor N = 6 as for N = 3, and a similar region of con-vergence for the 5-site NLCE. The results in the maintext thus use p = 3 and particle number restricted to 6in the results for N = 6. Naturally, the value of U af-fects the region of convergence significantly. The size ofthe temperature region of convergence increases with U .

0

1

2

3

4

E/t

N = 3

NLCE order, truncation

2,3

2,4

3,3

3,4

4,3

4,4

5,3

5,4

5,No truncation

0.1 1 10 100

T/t

0

2

4

6

8

10

E/t

N = 6

FIG. 15. Convergence of NLCE with Hilbert spacetruncation. Energy vs T/t plot at U = 15.3t for SU(3) [top]and SU(6) [bottom]. The total number of particles in the clus-ter was restricted to 6 or less and basis states with interactionenergy UD greater than pU were discarded. Different curvesare different NLCE orders from 2 to 5, and truncations p = 3and 4, as indicated in the legend. The divergence of NLCE atlow-temperature is due to the finite-order of the expansion,while the divergence at high-temperature is due to the basistruncation.

For U ≤ 8t, there is barely any region of convergence forthese choices of the truncation parameters, and hence wecannot get converged results for the SU(6) system fromthe fifth-order NLCE with our truncation.

Appendix D: Second order NLCE calculation forJ � T � U . Energy crossing and 1/N dependence

In this section we focus on two things: explaining theexistence of an energy crossing (as seen in Fig. 6) anddemonstrating the 1/N scaling observed in the limit J �T � U . As mentioned in the main text, the second orderNLCE captures such behavior, but this does not admita general analytic formula. However, analytic formulascan be obtained in the J � T � U regime.

The second order NLCE in the square lattice is E =4E(2) − 3E(1), where E(x) is the energy per site in an x-site system. First we demonstrate that for J � T � U

17

the one-site problem does not contribute to the energy,then we calculate the energy in the relevant particle sec-tors in the two-site problem, and finally we present resultsfor their linear combination, i.e. the second order NLCE.

1. One-site problem

In the one-site problem, the partition function is givenby

Z(1) =

N∑n=0

(N

n

)e−βε0(n), (D1)

where ε0(n) = U(n2

)− µn. The density ρ(1) is

ρ(1) = 〈n〉 =1

Z(1)

N∑n=0

n

(N

n

)e−βε0(n), (D2)

while the energy E(1) is

E(1) = 〈H + µn〉 =1

Z(1)

N∑n=0

U

(n

2

)(N

n

)e−βε0(n). (D3)

Because T � U , we can obtain an analytical approx-imate expression for the chemical potential µ0(T,U,N)that fixes the density to ρ = 1 by only considering the0-, 1-, and 2-particle sectors. This expression is exactfor N = 2, but is only true to leading order in T/U forN > 2, since it truncates eigenstates with triplons andhigher occupancies. The solution for µ0 is given by

µ0(T,U,N) =U

2+

1

2T ln

[2

N(N − 1)

], (D4)

and the energy in this limit is

E(1) =Ue−βU/2

2 +√

2NN−1

≈ 0. (D5)

Therefore we have shown that in the βU � 1 limit thesecond order NLCE in the square lattice is determinedby the two-site result, E = 4E(2).

2. Two-site problem

The Hilbert space of the two-site problem is 4N , andanalytically diagonalizing such matrix — even if exploit-ing particle number conservation for each spin compo-nent and spin permutation symmetry — is not possible.However, not all particle sectors need to be consideredsince βU � 1 and 〈n〉 = 1. Under these two conditions,and to leading order in βJ , we can use the chemical po-tential from Eq. (D4) in the two-site calculation. Thisensures that at 〈n〉 = 1 only the 2-site 2-particle sector

(TSTP) contributes, since all other sectors are ∝ e−βU ,and therefore negligible.

In the TSTP, there are N states where two particlesof the same flavor sit on sites 1 and 2. Since these arePauli blocked from hopping, and there is no U contri-bution, they constitute N independent one dimensionalsubspaces of energy ε = 0, giving rise to a contributionN in the partition function. Furthermore, there are

(N2

)choices where the flavors of the two particles are different.Since the hopping conserves flavor, these form indepen-dent four dimensional subspaces with levels identical tothe usual N = 2 spectrum in the one spin up and onespin down sector. Therefore, in the TSTP the partitionfunction Z(2) and energy per site E(2) are given by:

Z(2) = N +

(N

2

)Z2, (D6)

E(2) =1

2

(N

2

)E2, (D7)

Z2 =

4∑n=1

exp(−βεn), (D8)

E2 =1

Z

4∑n=1

εn exp(−βεn), (D9)

where εn are the eigenvalues of the 2-particle sector withdifferent spin component, i.e. σ 6= τ . These eigenvaluesare εn = {0, U, U/2±

√16t2 + U2}.

First, an energy crossing for different values of N asa function of T/t at a fixed U/t in the TSTP occurswhen Eq. (D7) is equal to zero, i.e. E2 = 0, to demandthe N -independence of the energy. The temperature atwhich the crossing occurs is the solution to the followingtrascendental equation:

0 = Ue−βU

+U

2

1 +

√1 +

(4t

U

)2 e−β U

2

[1+√

1+( 4tU )

2]

+U

2

1−√

1 +

(4t

U

)2 e−β U

2

[1−√

1+( 4tU )

2]. (D10)

That this equation has solutions demonstrates the exis-tence of a crossing point, and it qualitatively explains thetrends of T ∗/t with U/t, although it deviates quantita-tively from the results in Fig. 7.

Now we demonstrate the 1/N scaling for J � T � U ,where the second order NLCE shows unconditionally thatthe collapse occurs in this regime. We present results forE, but analogous results can be obtained for D and K.The energy in the TSTP is given by Eq. (D7),

E(2) (T,U,N) =1

2

(N2

)∑4n=1 εn exp(−βεn)

N +(N2

)∑4n=1 exp(−βεn)

. (D11)

Since U � t, the εn have simple expressions εn ={0, U, U + J,−J}. Because βU � 1, E(2) is given to

18

leading order by

E(2) (T,U,N) ≈ 1

2

(N2

) (−JeβJ

)N +

(N2

)(1 + eβJ)

,

=1

2

−JeβJN+1N−1 + eβJ

. (D12)

Finally, since in the J � T � U limit E = 4E(2), thesecond order NLCE to zeroth order in βJ � 1 is

E (T,U,N) ≈ −J +1

NJ. (D13)

This demonstrates that the scaling Eq. (10) holds in theregime 4t2/U � T � U , when t/U � 1 to zeroth orderin βJ .

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f ′(x) =

[xi − xi+1

(xi−1 − xi)(xi−1 − xi+1)

]f(xi−1)

+

[2xi − xi−1 − xi+1

(xi − xi−1)(xi − xi+1)

]f(xi)

+

[xi − xi−1

(xi+1 − xi−1)(xi+1 − xi)

]f(xi+1),

with error O(h2) where h is the maximum spacing of

21

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D∞ =1

2

∑σ 6=τ

〈nσ〉〈nτ 〉 =

(N

2

)1

N2=

1

2

(1− 1

N

),

where we used that 〈nσ〉 = 〈n〉/N because of the SU(N)symmetry.

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