Abstract
Pairwise entanglement, calculated separately for charge and spin degrees of freedom, is proposed as a ground-state signature of the Mott transition in correlated nanoscopic systems. Utilizing the exact diagonalization—ab initio, for chains containing hydrogenic-like atoms (at the half filling), we find that the vanishing of the nearest-neighbor charge concurrence indicates the crossover from a partly-localized quantum liquid to the Mott insulator. Spin concurrence remains nonzero at the insulating phase, showing that the decopling of spin and charge degrees of freedom may manifest itself by wavefunctions entangled in spin, but separable in charge coordinates. At the quarter filling, the analysis for shows that spin concurrence vanishes immediately when the charge-energy gap obtained from the scaling with vanishes, constituting a finite-system version of the Mott transition. Analytic derivations of the formulas expressing either charge or spin concurrence in terms of ground-state correlation functions are also provided.
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1. Introduction
In 90 years after the seminal work by Schrödinger [1] analytical properties of quantum-mechanical wavefunctions describing hydrogenic-like atoms (or ions) continue to surprise. For instance, recent derivation of the Wallis formula for π by Friedmann and Hagen [2] refers to the variational principle and the correspondence principle, but also employs a counterintuitive fact that some variational approaches may truncate particular excited states of atoms with the same or better accuracy than the ground state (GS). This feature has direct analogs in many-electron hydrogenic systems and motivated the proposal of the exact diagonalization—ab initio method (EDABI) [3], which were recently used to discuss the influence of electron correlations on the metallization of solid hydrogen in a rigorous manner [4, 5]. Also, as a method putting equal footing on single- and multiparticle aspects of the correlated quantum states, EDABI seems to be a promising candidate for the theoretical tool capable of giving a better insight into the superconductivity mechanism in sulfur hydrides [6, 7] or into the magnetic moment formation in functionalized graphenes [8].
When considering a generic second-quantized Hamiltonian with both spin and charge degrees of freedom, a few numerical techniques can be regarded as exact ones; i.e., giving the desired correlation functions within the accuracy limited (in principle) by the machine precision only. These includes: exact diagonalization (ED) for relatively small systems [9], density matrix renormalization group (DMRG) for low-dimensional systems [10], and quantum Monte Carlo (QMC) for non-frustrated systems [11]. A separate class is outlined by variational approaches designed to treat one-dimensional (1D) atomic chains in the insulating phase [12]. Even though each of these methods provides us with detailed information about the closed-system GS, it is usually a challenging task to determine whether GS is insulating, metallic, or of a more complex nature [13]1 . This is primarily because standard GS signatures of the metal–insulator transition, such as a vanishing charge gap [14], are absent at any finite system size (quantified by the number of lattice sites N), but may appear only after the so-called finite-size scaling (with ), a procedure introducing systematic errors difficult to estimate in some cases.
For this reason, specially-designed GS correlation functions, not only signaling the Mott transition in the thermodynamic limit, but also showing fast convergence (with ) for finite systems close to the metal–insulator boundary, may constitute a valuable complement of the existing numerical techniques.
In attempt to propose such correlation functions, one need to point out the relevance of quantum fluctuations between electronic doubly-occupied sites and unoccupied sites and between singly occupied sites with spin up and spin down in lattice models, as suggested before by numerous authors [15–19]. The concept quantum entanglement [20, 21], together with entanglement measures such as the concurrence [22], was adopted to quantify the above-mentioned fluctuations in various systems [23–25, 26–41], including basic spin models [23–25, 42], fermionic systems [26–31], or systems with spin and orbital degrees of freedom [32–35]. For an open fermionic system (namely: acorrelated quantum dot attached to the leads) we found that the concurrence, defined separately for charge and spin degrees of freedom, allowed one to distinguish between different quantum transport regimes of the system [36]. Analogs of this observation were also reported for double [37, 38] and triple quantum dots [39]. For closed systems, in particular for small molecules, Mottet et al [40] showed that the entanglement analysis provided a valuable insight into the chemical bond formation. Even noninteracting systems with complex Fermi surface topology were characterized via their entanglement spectra [41]. Also very recently, a generic variational approach to correlated quantum systems, in which the output numerical precision is steered by setting maximal allowed entanglement between a selected subsystem and the environment, was proposed [43].
Sacramento et al [44] used entanglement measures to complement the long-lasting discussion of decoupling of charge and spin degrees of freedom in 1D Hubbard model [45] and its relation to the charge–spin separation phenomenon in Luttinger liquids [46, 47]. In particular, it is pointed out in [44] that charge–charge fluctuations, when quantified by properly defined correlation functions, show substantially different asymptotic behavior than spin–spin fluctuations in both the metallic and the insulating phases.
Here we focus on linear chains containing up to N = 20 equally-spaced hydrogenic-like atoms, each one containing a single valence orbital (see figure 1). Although such chains are not directly observable due to the well-known Peierls instability, they have been intensively studied to benchmark different ab initio approaches to strongly-correlated systems [48]. In this paper, two distinct physical regimes are considered: at the half filling the system shows a crossover behavior, with the increasing interatomic distance R, from a partly localized quantum liquid to the Mott insulating phase [3, 49]. At the quarter filling, the Mott transition is reconstructed with [3]. (The above-mentioned findings are consistent with more recent results of QMC simulations for Hubbard chains with long-range interactions [50].) It is worth to mention that the two regimes are also significantly different from a more fundamental point of view: in the strong-coupling (i.e., large R) limit the charge fluctuations are suppressed and the half-filled chain can be effectively described as 1D Heisenberg antifferomagnet, for which long-range order is absent due to the Mermin–Wagner theorem [51]. For the quarter-filling similar reasoning cannot be applied in the presence of long-range Coulomb interactions, and the charge-density wave phase is predicted to appear [3, 52–54]. In other words, we consider the two complementary model cases allowing one to test entanglement-based phase-transition indicators. We further discuss the concurrence [22], defined separately for charge and spin degrees of freedom, and employ it to recognize the decoupling of charge and spin degrees of freedom accompanying a finite-system version of the Mott transition.
The paper is organized as follows. In section 2 we present the system Hamiltonian and summarize the EDABI method. In section 3 the findings of [3], concerning the finite-size scaling of charge-energy gap, are revisited after taking larger systems under consideration. In section 4 we determine the local and pairwise entanglement, the latter for charge and spin degrees of freedom, and discuss their evolution with the interatomic distance and the system size. The conclusions are given in section 5.
2. The exact diagonalization—ab initio method (EDABI)
The EDABI method, together with its application to the system of figure 1, have been presented in several works [3–5, 49]. Here we briefly recall the main findings, to which we refer in the remaining parts of the paper.
2.1. The Hamiltonian for a linear chain
The analysis starts from the second-quantized Hamiltonian, which can be written in the form
where is the atomic energy (same for all N sites upon applying periodic boundary conditions), tij is the hopping integral between ith and jth site (we further set if i and j are nearest neighbors, otherwise ), U is the intrasite Coulomb repulsion, Kij is the intersite Coulomb repulsion, and (with the distance ) expresses the repulsion of infinite-mass ions.
The single-particle and interaction parameters of the Hamiltonian (1), also marked in figure 1, can be defined as follows
where T is the single particle Hamiltonian describing an electron in the medium of periodically arranged ions, and V is the Coulomb repulsive interaction of two electrons. The Wannier functions are defined via atomic (Slater-type) functions, namely
where the Slater 1s function , with α being the inverse orbital size, here taken as variational parameter, and being the position of ith ion. The coefficients in equation (4) can be uniquely defined by imposing that (i) and that (ii) is maximal [3, 55].
The range of Coulomb interactions in the Hamiltonian (1), quantified by parameters for , is a priori limited only by the chain length . Previous studies on linear chains, both ab initio ones [12, 48] and these starting from second-quantized model Hamiltonians [50, 52], usually have imposed some form of charge screening reducing the range of such interactions (leaving the on-site Coulomb repulsion only in the extreme case [53]). This can be partly justified by possible influence of the enviroment in condensed-matter realizations such as quantum wires [54] or self-organized chains [56]. A slightly different situation occurrs for cold atom systems, where long-range dipole–dipole interactions may be relevant [57]. Apart from these experiment-related premises, long-range interactions usually lead to a noticeable slowdown of the convergence for numerical methods such as DMRG or QMC [58, 59]. This is not the case for the EDABI method, as the determination of parameters Kij corresponds to a relatively small portion of the overall computation time [60]2 , and the convergence of subsequent diagonalization in the Fock space (see the next subsection) is unaffected by the fact whether or not long-range interactions are included. Also, as charge screening becomes systematically less effective when the system dimensionality is reduced [61], one can expect it to be insignificant in a hypotetical realization of chains containing atoms.
2.2. Single-particle basis optimization
Next, each Slater function is approximated as follows
where p is the number of Gaussian functions truncating , and , q = 1,..., p, are adjustable parameters chosen to minimize the atomic energy for and a given value of p. Here we set p = 3, for which the deviation from the exact energy for function is lower that 1%3 . Subsequently, the parameters , tij, U, and Kij are calculated from equations (2) and (3) as functions of α and R. The Hamiltonian (1) is diagonalized numerically in the Fock space, using the Lanczos algorithm, and the orbital size is optimized to find corresponding to the minimal GS energy EG(N) for each R. Defining the efective atomic energy as
one finds that and other parameters converges rapidly with N. This observation allows us to speed up computations by using the values obtained for smaller systems () to perform extrapolation with . (The results are listed in table 1.)
Table 1. Microscopic parameters (specified in eV—unless stated otherwise) of the Hamiltonian (1) with minimizing the ground-state (GS) energy EG. The Bohr radius is Å. The effective atomic level is defined by equation (6); the remaining symbols are for (mod N), (with ), and the correlated hopping integral , quantifying the largest neglected term in . The numerical extrapolation with is performed for all parameters.
1.5 | 1.363 | 1.36 | 11.31 | 27.95 | 15.85 | 9.08 | 6.08 | −0.597 | −10.19 |
2.0 | 1.220 | −7.48 | 6.02 | 23.58 | 12.40 | 6.82 | 4.54 | −0.324 | −12.65 |
2.5 | 1.122 | 10.85 | 3.60 | 20.83 | 10.20 | 5.46 | 3.63 | −0.203 | −13.32 |
3.0 | 1.062 | 12.27 | 2.32 | 19.14 | 8.69 | 4.54 | 3.02 | −0.150 | −13.48 |
3.5 | 1.031 | 12.90 | 1.57 | 18.16 | 7.58 | 3.89 | 2.60 | −0.128 | −13.50 |
4.0 | 1.013 | 13.20 | 1.08 | 17.57 | 6.71 | 3.40 | 2.27 | −0.119 | −13.50 |
5.0 | 1.004 | 13.43 | 0.51 | 17.12 | 5.43 | 2.72 | 1.81 | −0.096 | −13.50 |
6.0 | 1.001 | 13.48 | 0.23 | 16.99 | 4.53 | 2.27 | 1.51 | −0.058 | −13.50 |
7.0 | 1.000 | 13.49 | 0.10 | 16.97 | 3.89 | 1.99 | 1.29 | −0.027 | −13.50 |
3. Finite-size scaling for the charge-energy gap
A standard numerical approach [14, 50], allowing one to determine whether a correlated system described by the Hamiltonian such as given by equation (1) is metallic or insulating in the GS, involves calculating the charge-energy gap according to
where is the number of electrons. Next, the limit of (with const) is to be taken numerically. The limiting value of indicates the metallic phase, whereas a nonzero value indicates the insulating phase4 . In the numerical examples presented here and in section 4 we consider two different physical situations: the half filling , with , and the quarter filling , with we further restrict ourselves to even values of N and . Due to the total spin conservation it is sufficient, for each pair , to look for the ground-state energy in equation (7) in the subspace characterized by the total zth component of spin Sz = 0. Analogously, the values can be found by choosing . In particular, the largest considered subspace dimension corresponds to N = 20, , and is equal to . Moreover, we impose the periodic () or antiperiodic () boundary conditions to minimize for or , respectively, with k-integer (see table 2).
Table 2. Boundary conditions BC (with marking the periodic/antiperiodic BC) and dimension of the largest subblock of the Hilbert space (with the total zth component of spin Sz = 0) for chains studied in the paper at the quarter filling (i.e., ). The last column specifies the values of the interatomic distance at which the spin concurrence vanishes, with the interpolation errorbars for the last digit given in parenthesis. (See section 4 for details.)
BC | dim | |||
---|---|---|---|---|
8 | 4 | − | 784 | 6.53(3) |
12 | 6 | + | 48 400 | 5.22(2) |
16 | 8 | − | 3 312 400 | 4.38(1) |
20 | 10 | + | 240 374 016 | 4.51(1) |
The numerical results, corresponding to the Hamiltonian (1) with the microscopic parameters listed in table 1, are presented in figures 2 and 3. We notice that the datasets for at the half filling as well as for at the quarter filling were presented in [3], were we also used the Richardson extrapolation of the second order [62] to perform finite-size scaling with for each value of R. After adding the new datasets for N = 16, and N = 20, (both depicted with open diamonds) the earlier conclusions regarding the system GS are further supported: namely, the extrapolation with (open triangles) at leads to for any accessible value of indicating the insulating phase (see figure 2). At , the finite-size scaling results can be rationalized with the empirical function
with the best-fitted parameters (numbers in parentheses are standard deviations for the last digit)
depicted with solid purple line in figure 3. The gap opening at indicates the Mott transition.
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Standard image High-resolution imageFor a sake of conciseness, our discussion of finite-size scaling estimates of the Mott transition is limited to the charge-energy gap. A more detailed analysis, presented in [3, 49, 55] and involving calculations of the electron momentum distribution, the Drude weight, as well as the so-called modern theory of polarization [63], justify the transition appearance in the case, which coincides with the results for related parametrized model studies [50, 52, 53, 57]. In the case, the situation is of a slightly more complex nature: apart from a nonzero gap for any R, following from the finite-size scaling, several GS and dynamical characteristics (in particular—the Drude weight, see [3]) exhibit, for any finite N, a crossover behavior between a partly localized quantum liquid, appearing for small R, and a fully-reconstructed Mott insulator, typically appearing for . These findings coincides with more recent variational Monte-Carlo studies of hydrogenic chains (see [12]), and can be attributed to the increasing (with growing R) role of electron correlations in either the exact or variational GS wavefunction.
It is worth to mention here that some surprisingly efficient variational methods, such as presented in [12], become significantly less efficient when treating open-shell configurations in attempt to calculate from equation (7), or generally when utilized away from the half filling (). Also for this reason, GS correlation functions signaling a finite-system version of the Mott transition for N small enough to be treated with some more flexible numerical techniques, are desired.
4. Reduced density matrix and quantum entanglement
In this section we derive explicit representations of the reduced density operator (where TrA stands for tracing over all degrees of freedom except from these characterizing a selected subsystem A) relevant when discussing the local entanglement, the pairwise entanglement for charge degrees of freedom, and the pairwise entanglement for spin degrees of freedom. The derivations remain valid for a generic spin-1/2 fermionic system at any pure state , which can be represented assuming four basis states for each site j, namely:
although the numerical examples, considered in search for entanglement-based estimates of the Mott transition, all correspond to the GS of a linear chain described by the Hamiltonian (1) with the microscopic parameters taken from table 1.
4.1. General considerations
Let us consider a general example at first: the quantum system, which can be divided into two distinct subsystems A and B. A pure state can be represented as follows
where denotes a complex probability amplitude corresponding to a basis state of the full system , while and are complete basis sets for the subsystems A and B (respectively). The reduced density operator is defined as:
where the last equality follows from equation (11) and denotes the complex conjugate of . Subsequently, the matrix elements of are given by
We define now projection operators Pα and Pβ, associated with the basis states and , via
Useful properties, directly following from equation (14) are
where equation (16) also employs the completeness of the basis sets and . Next, we define the transfer operator
which is unitary, i.e.
Explicit forms of Pα, Pβ, and , corresponding to the particular splittings of the system into A and B subsystems, are to be specified later in terms of the operators for lattice spin-1/2 fermions. Here we notice that as the indices refer the subsystem A, whereas the index β refers to the subsystem B, we have
for all and β.
With the help of operators and (14) one can write down, for represented according to equation (11),
In turn, the reduced density matrix, as given by the rightmost equality in equation (13), can be rewritten as
with the last equality following from equations (15), (16), and (19). Finally, using equation (18), we find
Remarkably, the reduced density matrix elements in equation (23) are expressed by pure-state expectation values (correlation functions) of the operators acting only on the subsystem A. This feature is further explored in the remaining parts of this section.
4.2. Entanglement entropy
The local entanglement [27] exhibits quantum correlations between the local state of a selected jth site (subsystem A) and the rest of the system (B). As the basis set is simply given by equation (10), one can write down the corresponding projection operators
and the transfer operators
where we have omitted the site index j for brevity. For the system with the total spin and charge conservation, such as our linear chain (see equation (1)), we have
(with being the spin index opposite to σ) providing that the averaging takes place over an eigenstate of the system Hamiltonian (not necessarily the GS). Substituting the expressions for Pα (24) and (25) into equation (23) and taking equation (26) into account we get, after a straightforward algebra,
with
Equation (27) corresponds to the reduced density operator of the well-known form
where we have used the basis given by equation (10).
A quantitative measure of the entanglement between the state of jth site and that of the remaining sites is given by the von Neumann entropy
If the translational invariance of the system is imposed, one can define the particle density n and the average number of double occupancies d, following
where we have further assumed that the averaging takes place over an eigenstate characterized by the total zth component of spin Sz = 0. Subsequently, equation (28) can be rewritten as
In particular, for the GS of the Hamiltonian (1), for which the effective interaction between electrons can roughly be estimated by and is always repulsive, one can show that
where the lower bound for d corresponds to the so-called strong-correlations limit approached for (as the bandwidth , see table 1), whereas the upper bound for d corresponds to the free-electrons limit approached for (). As the charge fluctuations are given by , the above-mentioned limits coincide (respectively) with the minimal and the maximal fluctuations for a given n. Moreover, the bounds for d in equation (33) can be mapped, via equation (32), onto
with
for the strong-correlations limit, and
for the free-electrons limit. For instance, equations (34)–(36) lead to
and
Remarkably, the strong-correlations limit corresponds to the minimal Ev, whereas the free-electrons limit corresponds to the maximal Ev (for any ). This is because when the free-electrons limit is approached, ground-state wavefunction can be truncated by a single Slater determinant composed of fully delocalized single-particle functions (Bloch functions), resulting in the maximal entanglement between jth site and the remaining sites [12, 36]. Repulsive interactions between electrons lead to the correlation-induced suppression of , and to the decreasing Ev with growing the interaction-to-bandwidth ratio.
General findings, presented briefly in the above, are now illustrated with the numerical examples for and (see figures 4 and 5). In both cases, the values of Ev are close to the upper bounds given by equations (37) and (38) for the smallest considered value of , and systematically decrease with growing R, gradually approaching the lower bounds in equations (37) and (38). Also, a remarkably fast convergence of Ev with growing N is observed for any R, making it necessary to apply vertical shifts to the datasets in figures 4 and 5. We further notice that starting from for , whereas for we still have in this range. However, the smooth evolution of Ev with R is observed for both and , making it difficult to consider the local entanglement as an estimate of the Mott transition. Pairwise entanglement is discussed next as the other candidate.
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Standard image High-resolution image4.3. The fermionic concurrence
We consider now the subsystem A consists of two spatially-separate quantum bits (qubits), one of which is associated with ith lattice site and the other with jth site. Each individual qubit can be realized employing charge or spin degrees of freedom.
For instance, if charge qubits are under consideration, one can choose the basis set for A in a fixed-spin sector , namely
whereas for spin qubits we have
The corresponding projection operators are
and
with the upper indices () referring to charge and spin qubits (respectively). Subsequently, the transfer operators are given by
and
with the spin operators , . Substituting the above expressions into equation (23) we get
where the total spin and charge conservation is imposed. The nonzero matrix elements in equation (45) are given by
for charge qubits, or by
for spin qubits.
We use now the concurrence , as a quantitative measure of quantum entanglement in the two-qubit subsystem A. The closed-form expression was derived by Wootters [22] and reads
where are eigenvalues of the matrix product
with given by equations (45)–(47), and () being the second Pauli matrix acting on the qubit associated with ith (jth) lattice site. It was also shown in [22] that the entanglement of formation for a pair of qubits was uniquely determined by , namely
where . In fact, can be interpreted as a distance between a given quantum state and the nearest separable state [64]. For these reasons, can be used to quantify the entanglement of two qubits instead of Ef, and is hereinafter called pairwise entanglement.
The eigenvalues of the matrix defined by equation (49) can be written as
where are yet unsorted. After some straightforward steps, equation (48) leads to
where the relevant correlation functions are given by equation (46) for X = c, or by equation (47) for X = s. The correlation functions w1X and w2X are absent in equation (52) as they contribute to if and only if .
Generalizations of for multifermionic states, appearing when larger subsystem A is under consideration, are also possible [65]. Such generalizations are, however, beyond the scope of this paper. We focus here on the pairwise entanglement, mainly because the form of equation (52) makes it possible to be determined with no significant computational costs once standard (spin or charge) correlation functions are calculated.
Our numerical results for the pairwise entanglement are presented in figures 6 and 7, constituting the central findings of this paper. The presentation is limited to the cases when sites i and j are the nearest neighbors in a linear chain (i.e., mod ), as we have found that for more distant neighbors5 . Also, correlation functions in equation (52) are averaged over the reference site number i, to reduce the finite-precision effects.
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Standard image High-resolution imageFor , we have for the charge degrees of freedom (so-called charge concurrence) provided that (see top panel in figure 6). In such a range, the separability of a quantum state in the position representation, appearing if a bipartite subsystem (A) is selected in a fixed-spin sector, justifies the above-used notion of a fully-reconstructed Mott insulator for a finite N (see section 3 and [3, 12]). For smaller R, stronger charge fluctuations manifest itself via nonzero charge concurrence, providing an insight into the nature of a partly-localized quantum liquid. Remarkably, spin concurrence (see bottom panel in figure 6) is positive for any considered N and , reaching the maximum in the crossover range of . For this reason, spin concurrence still can be considered as a prospective signature of the Mott transition.
For the evolution of the pairwise entanglement with (see figure 7) is significantly different than for the case. For each N, we have a nonzero charge concurrence for any considered (top panel in figure 7), whereas the spin concurrence (bottom panel) indicates a finite-system version of the Mott transition6 . In brief, for spin degrees of freedom for , where the nodal value corresponds to , and is determined numerically via least-squares fitting of a line to the actual datapoints for a given N (see the last column in table 2). For larger N, the values of are close to , determined in section 3 via the finite-size scaling for .
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Standard image High-resolution imageAdditionally, we observe that the nearest-neighbor pairwise entanglement may indicate the decoupling of charge and spin degrees of freedom in correlated systems. This happens for in the case (as well as for in the case), where nonzero spin (charge) concurrence is accompanied by vanishing charge (spin) concurrence. In the above-mentioned ranges, quantum states of a bipartite subsystem (A) are entangled when spin, but separable when charge degrees of freedom are under consideration (), or vice versa (). Such a decoupling should be distinguished from charge–spin separation predicted to appear in 1D systems showing the Luttinger liquid phase [44–47]. Our numerical examples also show there is no one-to-one relation between the decoupling and the Mott transition, as the format can be identified either for the system showing the crossover behavior only or undergoing the Mott transition (in the large-N limit). Finally, the pairwise-entanglement analysis presented above allows one to identify noticeably different behavior of charge and spin correlation functions without referring to their asymptotic behavior, as previously proposed in the literature (see the first paper in [12, 44, 66]).
5. Conclusions
In this study we have demonstrated that pairwise entanglement, quantified by the fermionic concurrence determined separately for charge and spin degrees of freedom, can serve as a convenient indicator for a finite-system version of the Mott transition. In particular, standard finite-size scaling estimates of the Mott transition for linear chains of hydrogenic-like atoms are revisited utilizing the EDABI at the half and the quarter electronic filling. In the latter case, we find that not merely the charge gap indicates the transition for (with N being the number of atoms) at the interatomic distance (where a0 denotes the Bohr radius), but also the spin concurrence vanishes for a finite N at taking the values relatively close to Rc. Charge concurrence remains nonzero in both the metallic and the insulating phases, signaling a decoupling between charge and spin degrees of freedom.
At the half filling the Mott transition is not observed. Instead, the crossover from a partly localized quantum liquid to a fully-reconstructed Mott insulator occurs. The charge concurrence vanishes at the crossover point, where the spin concurrence shows a broad peak; the latter remains nonzero in the entire parameter range.
It is worth to stress here that calculations of the fermionic concurrence, employed in this paper, generate essentially no extra computational costs, as the concurrence is determined solely via pairwise ground-state correlation functions for charge or spin degrees of freedom, without referring to the dynamical properties such as the optical or dc conductivity. The analytic relations between entanglement and the correlation functions (see equation (52)) are also derived in this paper.
A striking feature is that the analysis holds true regardless how the exact (or approximated) GS is obtained, making it possible to employ the entanglement-based signatures of the Mott transition when discussing a generic correlated-electron system. What is more, equation (52) also applies when correlation functions on its right-hand side are determined using more powerful numerical techniques, such as DMRG or QMC. For these reasons, we believe the approach we propose may shed new light on various open problems in the field, such as the long-standing metallization of solid hydrogen [4], or the recently-raised phase diagram of the repulsive Hubbard model on a honeycomb lattice ([13], see footnote 1).
Acknowledgments
I thank Andrzej Biborski, Andrzej Kądzielawa, and Prof Józef Spałek for many discussions, and Yichen Huang for pointing out the role of asymptotic properties of the reduced density matrix. The work was supported by the National Science Centre of Poland (NCN) via Programme SONATA BIS, Grant No. 2014/14/E/ST3/00256. Computations were performed using the PL-Grid infrastructure.
Footnotes
- 1
For the discussion of a recent controversy concerning the existence of a spin-liquid phase in the Hubbard model on the honeycomb lattice, see [13].
- 2
The situation may become substantially different in the absence of translational invariance, see [60].
- 3
See appendix A in [55].
- 4
Strictly speaking, finding out whether the insulating phase is of the Mott type also requires calculation of the so-called spin gap, (where denotes the lowest eigenenergy in the subspace with a total zth component of spin Sz); accompanied by for indicates the Mott phase. Although the answer may not be obvious in a more general situation (see [13], footnote 1), a lack of long-range spin order in 1D systems manifests itself by a fast decay of with N for atomic chains described by the Hamiltonian (1) for all values of R. The numerical demonstrations are provided in [3, 55].
- 5
This can be attributed to generic asymptotic behavior of the reduced density matrix (see equation (45)), for which for X = c, or for X = s, since the relevant operator-fluctuations in equations (46) and (47) become uncorrelated with growing the distance between sites i and j. Analogous features for spin models were discussed in [42].
- 6
We have intentionally limited the number of Lanczos iterations, starting (in any case) from a randomly-chosen vector in the Fock space, to relatively small value of m = 30. This allows us to visualize how GS correlation functions converges with the system size: notice that the oscillations of as a function of R, visible for N = 8 and 12 in figure 7, are strongly suppressed for larger N.