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. 2026 Jun 29;22(13):6471–6486. doi: 10.1021/acs.jctc.6c00378

Connection between GW and Extended Coupled Cluster

Johannes Tölle †,‡,*, Marios-Petros Kitsaras §, Andreas Irmler ∥, Andreas Grüneis ∥, Pierre-François Loos §
PMCID: PMC13374021  PMID: 42371725

Abstract

Coupled-cluster (CC) theory and Green’s function many-body perturbation theory (MBPT) have long evolved as distinct yet complementary frameworks for describing electronic correlation. While CC methods employ exponential wave function parametrizations that guarantee size extensivity and systematic improvability, Green’s function approaches, such as the GW approximation, describe quasiparticle and optical excitations through diagrammatic resummations. Recent analyses have established a formal correspondence between these frameworks: the GW approximation is equivalent to an equation-of-motion (EOM) treatment of the direct-ring coupled-cluster doubles (drCCD) method. Within this context, the extended CC (ECC) ansatz offers a unified framework connecting CC and MBPT. This formulation bridges CC-based and Green’s function-based methods, providing novel avenues for incorporating vertex corrections within a CC framework that preserves a sum-over-state representation of the self-energy and leads to potentially systematically improvable Green’s function approaches.


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1. Introduction

Coupled-cluster (CC) theory is one of the most mature and powerful methodologies in electronic structure theory. − Developed over several decades, it now provides access not only to highly accurate ground-state energetics and properties but also to excited states, through either the equation-of-motion (EOM) or linear-response formalisms. − Thanks to the sustained efforts of many research groups, CC has become the reference method for high-accuracy electronic structure calculations in molecular systems. −

Inspired by the seminal work of Hubbard, the CC ansatz was originally introduced by Coester and Kümmel in the 1950s to describe correlations in nuclear matter. , It was then brought into quantum chemistry in the 1960s through the seminal work of Sinanoğlu, Čížek, Paldus, and Shavitt. − Interestingly, the method later migrated back to nuclear physics in the 1990s and is now widely used for accurate computations of atomic nuclei. − More recently, CC has also found applications in condensed matter physics, where methodological and algorithmic advances have enabled its deployment in periodic solids. −

Decades of development have revealed both the strengths and limitations of CC theory. On the one hand, CC excels at describing ground- and excited-state properties of weakly correlated systems. The CCSD­(T) model, in particular, is widely regarded as the “gold standard” of quantum chemistry, , with systematic extensions such as CCSDT(Q) providing a “platinum standard” for even higher accuracy. The introduction of the Lagrangian formalism by Helgaker and coworkers placed the computation of properties as analytic gradients on firm theoretical grounds, opening the way to accurate calculations of both static and frequency-dependent molecular properties of arbitrary order. −

On the other hand, the single-reference nature of traditional CC theory becomes problematic in multireference situations where the Hartree–Fock (HF) determinant is not a suitable starting point. In such cases, higher-rank excitations (triples, quadruples, etc.) are often required, an EOM-CC approach may be employed, − or one must turn to one of the various flavors of multireference CC. −

A parallel story can be told for Green’s function many-body perturbation theory (MBPT). , Inspired by nuclear physics, with early contributions from Salpeter and Bethe, Green’s function approaches became central in condensed matter physics in the 1960s. Hedin’s introduction of the GW approximation − was a decisive turning point, as the concept of electronic screening proved remarkably successful in the description of the uniform electron gas. − However, GW was not applied to realistic materials until the 1980s. − While Green’s function techniques such as the algebraic diagrammatic construction (ADC) , were already being developed for molecules in the 1970s by Cederbaum, Schirmer, von Niessen, Domcke, and coworkers, − the transfer of the GW and Bethe–Salpeter equation (BSE) formalism to quantum chemistry occurred only more recently. − This was partly because screening effects were thought to be less dominant in small- and medium-sized molecular systems. Today, however, both GW , and BSE , are widely used in molecular science, complementing traditional wave function approaches.

In recent years, several groups have begun to explore the theoretical connections between CC theory and Green’s function MBPT. For example, Lange and Berkelbach analyzed the diagrammatic content of GW and ionization potential (IP) and electron affinity (EA) EOM-CC theory, ,,,− identifying both striking similarities and key differences between the two. They showed that EOM-CC with singles and doubles (EOM-CCSD) ,,,,, contains fewer ring diagrams than GW, but incorporates a large number of vertex corrections (i.e., beyond ring diagrams) arising from ladder, mixed ring-ladder, and exchange diagrams. Including triples yields EOM-CCSDT, ,− which includes all diagrams contained in the GW approximation, along with many additional high-order vertex corrections. Their work builds on earlier insights by Scuseria and coworkers, , who related diagrammatic truncations of CC with doubles (CCD) to variants of the random-phase approximation (RPA) (see also refs − ).

More recently, Quintero-Monsebaiz et al. established connections between BSE@GW and CC at both the ground- and excited-state levels, enabling transfer of methodological insights from one framework to the other. They further showed that both GW and BSE can be recast as nonlinear CC-like equations solvable with the standard CC machinery with the same computational scaling. In the same spirit, Coveney and Tew have investigated the interconnections between various MBPT schemes and CCD, with a particular focus on the CC self-energy and Green’s function. − Building on the “upfolded” version of GW introduced by Bintrim and Berkelbach, Tölle and Chan subsequently uncovered an exact connection between GW and the unitary CCD ansatz restricted to the direct-ring (dr) diagrams (drCCD). These developments have already borne fruit: One of the authors of the present study derived the first fully analytic GW nuclear gradients, and this work was recently extended by some of us to the first analytic BSE nuclear gradients. Nevertheless, this strategy requires the numerical evaluation of an infinite series of nested (anti)­commutators, which is not standard in conventional CC implementations. Unfortunately, direct application of EOM-CCD to GW remains hampered by missing correlation effects, as analyzed in refs , . Very recently, some of us introduced a reformulation of the GW formalism that builds upon the well-established EOM-drCCD framework, providing an alternative, fully analytic route to GW nuclear gradients. This modified EOM-CCD formulation restores the missing correlation effects inherent to traditional CCD-based approaches while maintaining a consistent and rigorous connection with the GW approximation.

In this context, the extended CC (ECC) ansatz of Arponen offers a promising path forward. ECC generalizes standard CC by introducing a bivariational framework, − in which both excitation and de-excitation operators are optimized simultaneously (see also refs − ). This ansatz preserves size-extensivity while providing a (bi) variational energy functional, making it particularly well-suited for the evaluation of molecular properties. In particular, the bivariational structure ensures that the Hellmann–Feynman theorem can be directly applied, thereby simplifying the computation of response properties. −

Closely related to the ECC framework is the XCC approach, , for which a straightforward EOM variant can be formulated. Both ECC and XCC employ a doubly similarity-transformed Hamiltonian, which introduces further low-lying correlation contributions, such as important third-order perturbation theory terms that are absent in conventional EOM-CCSD. ,

Comparative benchmark studies of various CC ansätze, including ECC, have been performed by Cooper and Knowles, as well as Evangelista. Van Voorhis and Head-Gordon introduced the quadratic CCD method via a simplification of the ECCD equations to preserve the computational scaling of the traditional CCD. In the present contribution, we revisit the relationship between GW and ECC and demonstrate how the latter can provide a natural framework for embedding Green’s function formalisms within the CC machinery.

The present work is organized as follows. Sections and introduce the GW approximation using two complementary frameworks: Hedin’s approach and the electron-boson formulation, respectively. Section briefly reviews the traditional CC energy functional and the extended CC approach, which employs a double similarity transformation that plays a central role in this work. Section applies an ECC-like double similarity transformation to the electron-boson Hamiltonian for the GW approximation introduced in Section . This yields an ECC electron-boson Hamiltonian, which is represented in Fock space in Section , yielding an eigenvalue problem for charged excitation energies. Section demonstrates the equivalence between the eigenvalue problem of the ECC electron-boson Hamiltonian (Section ) and the GW supermatrix (Section ). Section identifies the terms in the ECC electron-boson formulation that correspond to vertex corrections beyond GW. In Section , we motivate a low-order approximation to the GW density matrix within the framework of the double similarity transformed Hamiltonian. The resulting linearized one-body density matrix yields an additional correction in the Fock matrix, which can be viewed as an approximation to self-consistent GW. Computational details are summarized in Section . Numerical results for principal and secondary IPs of a molecular test set are reported in Section , where different levels of theory and vertex corrections are compared. Finally, conclusions are drawn in Section .

2. The GW Approximation

The GW approximation is most rigorously formulated within the framework of Hedin’s equations, which constitute a self-consistent set of five coupled integro-differential relations connecting the one-body Green’s function G, the dynamically screened Coulomb interaction W, the irreducible vertex function Γ, the irreducible polarizability P, and the exchange-correlation (xc) self-energy Σxc:

Γ(123)=δ(12)δ(13)+δΣxc(12)δG(45)G(46)G(75)Γ(673) 1a
P(12)=−iG(13)G(41)Γ(342) 1b
W(12)=v(12)+v(13)P(34)W(42) 1c
Σxc(12)=iG(14)W(1+3)Γ(423) 1d
G(12)=GH(12)+GH(13)Σxc(34)G(42) 1e

where v denotes the bare Coulomb interaction, and G H is the Hartree Green’s function. Here, integer numbers denote combined space-spin-time variables.

The GW approximation arises upon replacing the three-point irreducible vertex Γ by its zeroth-order form, Γ(123) = δ(12)­δ(13), which neglects vertex corrections beyond the independent-particle response. Under this approximation, the irreducible polarizability reduces to

P(12)=−iG(12)G(21) 2

and the xc self-energy simplifies to

Σxc(12)=iG(12)W(1+2) 3

Systematic improvements beyond GW can then, in principle, be obtained by including vertex corrections in either P (internal corrections) and/or Σxc (external corrections) in combination with careful diagrammatic analysis to avoid incomplete diagrammatic expansions. −

It is worth noting that both G and W satisfy Dyson-like equations [see eq and , respectively], with Σxc and P serving as their respective kernels. This observation highlights that the GW approximation is inherently a two-step procedure. In the first step, P is computed to determine the dynamical screening W. In the second step, Σxc is evaluated in order to obtain the one-body Green’s function G.

An alternative and particularly transparent way to view the GW approximation is through its supermatrix representation. ,,− In this formalism, GW can be written as a linear eigenvalue problem of the form

HGW·R=R·E 4

where E gathers the charged excitation energies (quasiparticle and satellites), the GW supermatrix reads

HGW=(fM2h1pM2p1h(M2h1p)†C2h1p0(M2p1h)†0C2p1h) 5

and

R=(rr2h1pr2p1h) 6

Here, f is the Fock matrix containing the one-hole (1h) and one-particle (1p) configurations, and diagonal sub-blocks defined as

Ciν,iν2h1p=ϵi−Ων⁣Caν,aν2p1h=ϵa+Ων 7

for the two-hole-one-particle (2h1p) and two-particle-one-hole (2p1h) configurations, where ϵ p are the quasiparticle energies. The corresponding coupling matrices,

Mp,iν2h1p=Mpi,ν⁣Mp,aν2p1h=Mpa,ν 8

contain the effective two-electron integrals,

Mpq,ν=∑ia⟨pa|qi⟩(X+Y)ia,ν 9

where X and Y are the RPA excitation and deexcitation vectors associated with the one-hole-one-particle (1h1p) RPA (positive) excitation energies Ων (see below). The two-electron integrals ⟨pq|rs⟩ are given in Dirac notation, i.e., ⟨12|12⟩. In this work, the indices p, q, r, s, ... are used for arbitrary orbitals, i, j, k, l label the occupied orbitals, a, b, c, d denote the virtual orbitals, and μ, ν, ... (collective) combined particle-hole indices. Furthermore, real-valued orbitals are assumed throughout.

The above linear eigenvalue problem can equivalently be recast as a nonlinear quasiparticle equation,

[f+Σc(ω)−ω1]·r=0 10

where the correlation self-energy takes the form

Σc(ω)=M2h1p·(ω1−C2h1p)−1·(M2h1p)†+M2p1h·(ω1−C2p1h)−1·(M2p1h)† 11

The elements of the correlation part of the self-energy read

(Σc)pq(ω)=∑iνMpi,νMqi,νω−ϵi+Ων+∑aνMpa,νMqa,νω−ϵa−Ων 12

The matrices X and Y are obtained by solving the direct RPA eigenvalue problem,

(AB−B−A)·(XYYX)=(XYYX)·(Ω00−Ω) 13

where

Aia,jb=(ϵa−ϵi)δijδab+⟨ib|aj⟩ 14a
Bia,jb=⟨ij|ab⟩ 14b

Solving this RPA problem, which scales as O(N6) , is a prerequisite for constructing the GW supermatrix. It can be shown to be equivalent to solving the Riccati equation

B+A·t+t·A+t·B·t=0 15

with

t=Y·X−1 16

Although this formal equivalence is useful, it does not by itself provide a clear physical interpretation of the GW approximation. Nevertheless, it clearly shows that introducing vertex corrections within the same excitation manifold (i.e., up to 2h1p and 2p1h configurations) can only be achieved by modifying one or more of the following quantities in eq : the Fock matrix f , the diagonal blocks C , or the coupling blocks M .

3. GW as an Electron-Boson Problem

A complementary and highly insightful perspective on the GW approximation is obtained by recasting it as an electron-boson coupling model. ,− Note that this effectively corresponds to a “coarse-graining” of electronic degrees of freedom into quasi-bosonic excitations, a common approximation in the context of boson expansion techniques. Within this picture, an electron added to or removed from the system interacts linearly with a bath of bosonic excitations representing the collective electronic response. In this framework, the RPA excitations are interpreted as effective bosonic modes that mediate the dynamical screening of the Coulomb interaction. The resulting Hamiltonian reads

ĤeB=Ĥe+ĤB+V̂eB 17

where

Ĥe=∑pqfpqâp†âq 18a
ĤB=∑μνAμνb̂μ†b̂ν+12∑μνBμν(b̂μ†b̂ν†+b̂μb̂ν) 18b
V̂eB=∑pqνVpq,νâp†âq(b̂ν†+b̂ν) 18c

respectively describe the Fermionic subsystem, the bosonic bath, and their mutual coupling. Here, f pq is an element of the Fock matrix, V pq,ν ≡ V pq,ia = ⟨pa|qi⟩ are two-electron integrals that mediate the coupling between the electronic and bosonic degrees of freedom, and the elements of the particle-conserving and particle-nonconserving components of the bosonic Hamiltonian are given by [see eq -]­

Aμν≡Aia,jb⁣Bμν≡Bia,jb 19

Although neutral electronic excitations are fundamentally composed of Fermions, they can often be treated approximately as bosons. In this framework, quasiboson creation and annihilation operators emulate Fermionic particle-hole excitations,

b̂ν†=âa†âi⁣b̂ν=âi†âa 20

where âa† and â i denote Fermionic creation and annihilation operators, respectively. Because of their underlying Fermionic structure, these quasiboson operators do not strictly satisfy Fermionic anticommutation relations anymore, and therefore violate the Pauli exclusion principle and the antisymmetry of the exact electronic wave function. The quasiboson approximation consists in neglecting these deviations and treating quasibosons as ideal bosons. This approximation not only simplifies the algebra and the physical interpretation of excitation processes but also transforms otherwise quartic Fermionic operators, such as the two-body part of the electronic Hamiltonian, into effective (bosonized) quadratic Hamiltonians in the quasiboson operators.

Using the composite basis made of the union of the 1h {â i }, 1p {â a }, 2h1p{âib̂ν†} , and 2p1h {â a b̂ ν} configurations, an IP/EA-EOM treatment on the electron-boson Hamiltonian naturally yields the GW supermatrix within the Tamm-Dancoff approximation (TDA).

To go beyond the TDA, the bosonic Hamiltonian must be diagonalized through a Bogoliubov transformation, which is conveniently expressed as

ĤB=−12TrA+12(b†b)·(ABBA)·(bb†) 21

Introducing the quasiparticle (Bogoliubov) operators

(ββ†)=(X−Y−YX)†·(bb†) 22

defined through a unitary transformation built from the RPA eigenvectors, the Hamiltonian becomes

ĤB=−12TrA+12(β†β)·(Ω00Ω)·(ββ†) 23

The components of the Hamiltonian can then be recast as

ĤB=Ec+∑μΩμβ̂μ†β̂μ 24a
V̂eB=∑μνMpq,νâp†âq(β̂ν†+β̂ν) 24b

where the RPA correlation energy is

Ec=12Tr(Ω−A) 25

The particle-nonconserving bosonic terms in Ĥ B are thus removed by the Bogoliubov transformation that diagonalizes the RPA problem. However, full diagonalization is not strictly necessary: a block-diagonalization already suffices to decouple excitation and deexcitation subspaces, rendering the unitary Bogoliubov transformation somewhat excessive. In the following sections, we will first introduce the extended CC approach and then show that an equivalent block-diagonal structure can be achieved more directly through a double similarity transformation.

4. Extended Coupled Cluster

The traditional CC (TCC) energy functional is

ETCC=⟨Φ0|(1+Λ̂)e−T̂ĤeT̂|Φ0⟩ 26

where T̂ = ∑ q t q τ̂ q is an excitation operator written as a function of the general excitation operator τ̂ q and Λ̂=∑qλqτ̂q† is a deexcitation operator. These operators act on the reference wave function Φ0 to generate excited determinant Φ q as |Φ q ⟩ = τ̂ q |Φ0⟩ and ⟨Φq|=⟨Φ0|τ̂q† .

The extended CC energy bifunctional is

EECC=⟨Φ0|eẐe−T̂ĤeT̂e−Ẑ|Φ0⟩ 27

where the linear operator 1 + Λ̂ has been replaced by a proper exponential operator eẐ with Ẑ=∑qzqτ̂q† . In other words, TCC can be seen as an approximation of ECC. Making the ECC energy functional stationary with respect to the right amplitudes t q and left amplitudes z q , i.e.,

∂EECC∂zq=0⁣∂EECC∂tq=0 28

yields the amplitude equations

⟨Φq|eẐe−T̂ĤeT̂|Φ0⟩=0 29a
⟨Φ0|eẐe−T̂[Ĥ,τ̂q]eT̂|Φ0⟩=0 29b

which, contrary to TCC, couple the two sets of amplitudes. Note that an alternative formulation of the ECC amplitude equations through projection exists, and numerical results for ground-state energies using both schemes have been shown to be similar. ,

When restricted to double excitations, that is, T̂ = T̂ 2, the ECC energy functional becomes

EECC=⟨Φ0|eẐ(ĤeT̂2)c|Φ0⟩=⟨Φ0|eẐ(Ĥ+ĤT̂2+12ĤT̂22+16ĤT̂23+124ĤT̂24)c|Φ0⟩=⟨Φ0|Ĥ+Ẑ(Ĥ+ĤT̂2+12ĤT̂22)c+12Ẑ2(12ĤT̂22+16ĤT̂23)c+16Ẑ3(124ĤT̂24)c|Φ0⟩ 30

The subscript c stands for “connected” and replaces (nested) commutator(s) between the Hamiltonian and the cluster operator, e.g., [Ĥ, T̂ 2] = (ĤT̂ 2)c, as only connected terms survive in these contributions.

At this stage, it is useful to emphasize the similarities and differences between the unitary and extended CC ansätze. The ECC form, eẐe−T̂ĤeT̂e−Ẑ , can be recast as e−t̂Ĥet̂ by defining t̂=T̂−Ẑ+12[Ẑ,T̂]+··· , sharing some resemblance with the unitary CC (UCC) expression with t̂ = T̂ – T̂ †. In UCC, the anti-Hermiticity condition t̂ † = −t̂ ensures a unitary transformation. In contrast, ECC does not enforce this constraint: Ẑ is independent of T̂, making t̂ generally non-Hermitian, offering greater flexibility at the cost of Hermiticity. Unlike the UCC functional, which results in a nonterminating Baker–Campbell–Hausdorff (BCH) expansion, the ECC approach results in a terminating series, although at a much higher order than the traditional CCD functional. Lastly, we mention the XCC parametrization that bears the same truncating doubly similarity transformed Hamiltonian form as ECC but restricts the deexcitations to be the complex conjugate of the excitations Ẑ = T̂ †. It is argued that due to the decreased flexibility of the XCC ansatz, ECC is expected to recover Hermiticity more effectively in comparison.

The computational cost of traditional CCD is O(N6) , whereas ECCD scales as O(N10) , which largely explains why it has not been widely adopted despite its attractive formal properties. Henderson and Scuseria demonstrated that the pair-ECCD method achieves the same O(N3) scaling as the corresponding pair-CCD approach. , Likewise, van Voorhis and Head-Gordon showed that truncating eẐ after the quadratic term reduces the scaling to O(N6) . These results suggest that suitable restrictions on the double excitation operator can significantly lower the computational cost of ECCD. Below, we will show that the quadratic nature of the bosonic Hamiltonian underlying GW results in a significant simplification of both the working equations and the associated computational cost.

5. ECC on the Electron-Boson Hamiltonian

In this section, we apply the ECC ansatz to the bosonic Hamiltonian Ĥ B defined in eq . As outlined in Section , a double similarity transformation is performed:

H̿B=eẐH̅Be−Ẑ=eẐe−T̂ĤBeT̂e−Ẑ 31

where the bosonic excitation and de-excitation operators are defined as

T̂=12∑μνtμνb̂μ†b̂ν†⁣Ẑ=12∑μνzμνb̂μb̂ν 32

Because Ĥ B is quadratic, the BCH expansion associated with the first similarity transformation truncates exactly at second order, yielding

H̅B=ĤB+[ĤB,T̂]+12[[ĤB,T̂],T̂]=12∑λσBλσtλσ+∑μνA̅μνb̂μ†b̂ν+12∑μνB̅μνb̂μ†b̂ν† +12∑μνBμνb̂μb̂ν 33

with

A̅μν=Aμν+∑λtνλBλμ 34a
B̅μν=Bμν+∑λAμλtλν+∑λtμλAλν+∑λσtμλBλσtσν 34b

where we made use of the fact that t T = t . As seen in eq , H̅ B remains quadratic, containing both number-conserving and non-number-conserving terms. Hence, the second BCH expansion also terminates at second order, leading to

H̿B=H̅B+[Ẑ,H̅B]+12[Ẑ,[Ẑ,H̅B]]=12∑λσB̅λσzλσ+∑μνA̿μνb̂μ†b̂ν+12∑μνB̅μνb̂μ†b̂ν†+12∑μνB̿μνb̂μb̂ν 35

where

A̿μν=A̅μν+∑λzνλB̅λμ 36a
B̿μν=Bμν+∑λA̅μλzλν+∑λzμλA̅λν+∑λσzμλB̅λσzσν 36b

Let |0B⟩ denote the bosonic reference vacuum. The right amplitude equations, obtained as ⟨0B| b̂ μ b̂ ν H̿ B |0B⟩ = 0, yield the condition B̅ μν = 0, which is equivalent to the (quadratic) Riccati equation in eq . The left amplitude equations, ⟨0B|H̿Bb̂μ†b̂ν†|0B⟩=0 , give B̿ μν = 0, which reduces to a set of linear equations in z μν once B̅ μν = 0:

Bμν+∑λA̅μλzλν+∑λzμλA̅λν=0 37

Note that, although left- and right-amplitude equations are generally coupled, they are completely decoupled in the present case.

Once these two conditions are satisfied, the double similarity-transformed bosonic Hamiltonian simplifies to

H̿B=∑μνA̅μνb̂μ†b̂ν+12∑λσBλσtλσ 38

where all non-number-conserving terms have been eliminated. This results in the block-diagonalization of the bosonic Hamiltonian, as discussed in Section .

Having established the ECC treatment of the bosonic Hamiltonian, we can now turn to the full electron-boson Hamiltonian Ĥ eB given in eq . The double similarity-transformed electron-boson Hamiltonian reads

H̿eB=eẐe−T̂ĤeBeT̂e−Ẑ=H̅eB+[Ẑ,H̅eB]=Ĥe+H̿B+V̿eB 39

with

V̿eB=∑pq∑νVpq,νâp†âq(b̂ν†+b̂ν)+∑pq∑ν∑λVpq,λtλνâp†âqb̂ν†+∑pq∑ν[∑λVpq,λzλν+∑μλVpq,λtλμzμν]âp†âqb̂ν 40

6. EOM on the ECC Electron-Boson Hamiltonian

Building on the ECC electron-boson Hamiltonian introduced in Section , we next derive the EOM formulation for charged excitations. Within the present ECC-based formalism, the excitation operator R̿ (m) for the mth excited state is defined as

R̿(m)=eT̂e−ẐR̂(m)eẐe−T̂=∑MRM(m)c̿M=∑MRM(m)eT̂e−ẐĉMeẐe−T̂=∑iri(m)ai+∑iνriν(m)b̿ν†ai+∑ara(m)aa+∑aνrνa(m)b̿νaa 41

where ĉ M denotes an excitation operator associated with the Mth excitation process [see eq ]. The various excitation channels are expressed in terms of double similarity-transformed bosonic creation and annihilation operators,

b̿ν†=eT̂e−Ẑb̂ν†eẐe−T̂ 42a
b̿ν=eT̂e−Ẑb̂νeẐe−T̂ 42b

as well as the corresponding left and right reference states in the combined Fermionic-bosonic space,

|0e0̿B⟩=eT̂e−Ẑ|0e0B⟩ 43a
⟨0e0̿B|=⟨0e0B|eẐe−T̂ 43b

The use of these transformed creation and annihilation operators is essential to ensure that the EOM formalism satisfies the required “killer” conditions. −

The EOM eigenvalue problem becomes

⟨0e0̿B|[c̿M†,[ĤeB,R̿(m)]]|0e0̿B⟩=⟨0e0̿B|[c̿M†,R̿(m)]|0e0̿B⟩E(m) 44

with E (m) denoting the energy of the mth charged excited state, and c̿M† to the Mth excitation/deexcitation process [see eq ], respectively. eq can be simplified to

⟨0e0B|[ĉM†,[H̿eB,R̂(m)]]|0e0B⟩=⟨0e0B|[ĉM†,R̂(m)]|0e0B⟩E(m) 45

and the resulting EOM eigenvalue problem can be written as

HEOM·R=R·E 46

The equivalence with the G0W 0 quasiparticle energies is established analytically in Section , identifying the matrix elements of the effective Hamiltonian H EOM with those of the GW supermatrix H GW defined in eq .

Details regarding the determination of analytic properties within the ECC treatment of the electron-boson Hamiltonian can be found in ref .

7. Equivalence with G 0 W 0

Having derived the EOM quasiparticle equations using the ECC electron-boson Hamiltonian [see eq ], we now establish their analytical equivalence with the G 0 W 0 quasiparticle equations. For this, we rewrite the effective Hamiltonian H EOM in block form as

HEOM=(fÑ2h1pN2p1h(N2h1p)†D2h1p0(Ñ2p1h)†0D2p1h) 47

The matrices read

[Ñ2h1p]pi,μ=∑νVpi,ν(δνμ+zνμ+∑λtνλzλμ) 48a
[Ñ2p1h]pa,μ=∑νVpa,ν(δνμ+zνμ+∑λtνλzλμ) 48b
[N2h1p]pi,μ=∑νVpi,ν(δνμ+tνμ) 48c
[N2p1h]pa,μ=∑νVpa,ν(δνμ+tνμ) 48d

and

[D2h1p]iν,jμ=fij−Aνμ−∑λtνλBλμ 49a
[D2p1h]aν,bμ=fab+Aνμ+∑λBνλtλμ 49b

To demonstrate the equivalence of eq with the G 0 W 0 supermatrix [see eq ], we begin by establishing the following relation (1 + t )· X = X + Y , which follows directly from eq . Furthermore, we note that 1 + z + t · z = (1 – t )−1 (see the Supporting Information), simplifying eqs and . From these relations, one finds that (1 – t )−1· X –1 = ( X – Y )−1 = X + Y , where we made use of t T = t . Finally, one can show that

X·(A+t·B)·X−1=Ω 50

Using the relations derived above, the EOM-ECC eigenvalue problem can be rewritten as

HEOM·S−1·S·R=R·E 51

which, after multiplication from the left by the metric

S=(10001h⊗X0001p⊗X−1) 52

is identical to the G 0 W 0 supermatrix formulation of refs ,,− and results in the effective Hamiltonian H GW of eq .

Elements of the transformation matrix S are given by

[1h⊗X]kν,j(ia)=δkjXia,ν 53

in the hole-quasiboson block, and

[1p⊗X−1]νc,(ia)b=δbc(X−1)ν,ia 54

in the particle-quasiboson block. We have explicitly written down the matrix elements with combined occupied and virtual indices (ia) to avoid confusion with collective particle-hole indices ν arising from transformation in the excitation basis through X .

8. Beyond-GW Vertex Corrections from ECC

In our opinion, the newly established connection between the ECC formalism and the GW approximation opens exciting avenues for systematically including vertex corrections beyond GW. As noted at the end of Section , vertex corrections can enter through three distinct components of the GW supermatrix [see eq ]: (i) the Fock matrix f , (ii) the diagonal blocks C , and (iii) the coupling blocks M . Reformulating the building blocks C and M within the ECC framework [see eq ] provides direct access to vertex corrections that preserve the sum-over-state representation of the underlying self-energy. While such a sum-over-state representation is directly linked to causal self-energies for Hermitian effective Hamiltonians, the non-Hermiticity of the effective Hamiltonian in the context of this work might result in noncausality. However, similar to the CC Green’s function, we expect such issues to be of minor concern for single-reference states. The sum-over-state representability therefore represents a notable advantage compared to vertex corrections derived from approximate solutions of Hedin’s equations. ,,,,,,,−

In this work, we explore corrections to f through static Fock matrix corrections Σ(∞) as

Σpq(∞)=∑rs⟨pq||rs⟩(γpr−γprHF) 55

where ⟨pq||rs⟩ = ⟨pq|rs⟩ – ⟨pq|sr⟩, γ and γ HF denote the correlated and HF one-body density matrices. Therefore, the augmented Fock matrix, used in the EOM treatment or, equivalently, in the GW supermatrix, reads

f=fHF+Σ(∞) 56

where f HF is the HF (or alternative mean-field) Fock matrix. Depending on the choice of γ, this modification allows for mimicking self-consistency effects − (see Section ), and/or additional vertex corrections beyond GW. Note that such static self-energy corrections to the density matrix naturally arise in alternative perturbative construction schemes of the self-energy.

Beyond these static corrections, the ECC framework also enables the inclusion of missing exchange contributions in the matrices Ñ , N , and D , which enter H EOM [see eq ]. Here, we consider exchange-like contributions that arise from particle-hole contractions of the electron repulsion integrals ⟨pq|rs⟩ with the ECC amplitudes ( t and z ). The inclusion of such contributions shares similarity with the SOSEX ground-state energy correction to drCCD proposed in ref .

To illustrate how different exchange contributions can be included, we start investigating the diagrammatic representation of the following ring contraction between the electron repulsion integrals ⟨pq|rs⟩ with the ECC amplitude t

8. 57

entering the D block of H EOM [see eq and eq and ]. In this case, the particle and hole lines are connected to the same vertices of ⟨ik|ac⟩ and tkjcb . Three distinct exchange contributions can be identified by exchanging the vertices to which the particle and hole lines are connected:

  • i

    Through connection to different vertices of the electron repulsion integrali

  • ii

    Through connection to different vertices of the amplitude t ii

  • iii

    bothiii

The latter can be identified as electron–hole-ladder/crossed-ring corrections. , Additionally, we consider exchange contributions in (i) originating from the contraction with the excitation vector R̂ (Section ), i.e.,

∑νAν,μrμj=∑kcAia,kcrjkc(m)→∑kc(Aia,kc−⟨ic|ka⟩)rjkc(m) 58

The first term corresponds to the ring contraction8.

and the additional term in the last line represents the contraction of ⟨ic|ka⟩ with r jkc , where the particle-hole indices (c and k) are located at different vertices of the electron repulsion integral:8.This example contributes to D [see eq ].

To explore the importance of the different exchange corrections, we have implemented the underlying working equations for (i), (ii), and (iii) in spin-adapted form for the EOM effective Hamiltonian of eq . The resulting equations can be found in the Supporting Information. In the following, we will denote the different exchange corrections as ΓVx for case (i), ΓAx for case (ii), and ΓCRx for case (iii). Combinations of these corrections will be indicated by the addition of the respective labels, e.g., ΓV+Ax indicates the inclusion of both (i) and (ii) contributions.

We would like to stress that the proposed corrections (i) to (iii) are a choice made in the present work. The corrections are motivated also by their potential for low-scaling implementations. While the computational cost of the present approach is O(N6) , we would like to emphasize that the cost for determining the amplitudes can be reduced to O(N4) through techniques such as Cholesky decomposition. , Furthermore, in combination with the resolution-of-the-identity (RI) technique, , the matrix-vector products for the EOM eigenvalue problem, including exchange corrections, can be reduced to O(N5) , whereas application of tensor-hypercontraction techniques (THC) , reduces this scaling further to O(N4) . The applicability of these low-scaling techniques within the vertex corrections presented here will be explored in future work.

Beyond that, the choice made here can also be rationalized by comparison to alternative GW vertex corrections proposed in the literature (see refs ,,,,,,,− ). Within Hedin’s equations [see eqs –], vertex correction enter both the self-energy Σ [see eq ] and the polarizability P [see eq ]. Note that the vertex itself is defined through the functional derivative of Σ with respect to G [see eq ]. This formal structure has motivated a variety of practical schemes, commonly classified according to whether vertex corrections are included in Σ, in P, or in both. Moreover, different approximations to the vertex Γ have been explored, ,,,, many of which suffer from a lack of causality. ,,

The choices made in the present work can be interpreted as modifying both Σ and P such that the resulting (non-Hermitian) self-energy allows for a sum-over-state representation. However, several alternative, potentially systematically improvable, vertex corrections can be devised within the ECC framework, which we leave for future work. For example, of particular interest are the inclusion of additional contributions in the amplitude equations themselves and the effect of particle–particle and hole–hole ladder contributions at the EOM level.

9. GW Linearized Density Matrix from ECC Perturbation Theory

As noted in Section , the inclusion of static Fock matrix corrections Σ(∞) allows for mimicking self-consistency effects within the GW approximation. Here, we derive the GW linearized one-body density matrix γ within the ECC framework, which can be used to compute Σ(∞).

Refs − derived the linearized one-body density matrix within the GW approximation as

γij=δij−∑aνMia,νMja,ν(ϵi−ϵa−Ων)(ϵj−ϵa−Ων) 59a
γab=∑iνMai,νMbi,ν(ϵi−ϵa−Ων)(ϵi−ϵb−Ων) 59b
γia=fiaϵi−ϵa+1ϵi−ϵa[∑bνMib,νMab,νϵi−ϵb−Ων+∑jνMij,νMaj,νϵj−ϵa−Ων] 59c

In the following, we show how these equations can be derived within the ECC framework perturbatively. For this, we partition the Hamiltonian as

Ĥ(λ)=Ĥ0+λV̂ 60

where λ denotes the perturbation parameter, and

Ĥ0=∑pfppâp†âp+∑μνA̿μνb̂ν†b̂μ 61a
V̂=∑pqνM̿pqνâp†âq(b̂ν†+b̂ν)+∑p≠qfpqâp†âq 61b

Within perturbation theory, the doubly similarity-transformed Hamiltonian reads

H̿(λ)=eẐ(λ)e−T̂(λ)Ĥ(λ)eT̂(λ)e−Ẑ(λ) 62

where the excitation and deexcitation operators read

T̂(λ)=λT̂(1)+λ2T̂(2)+··· 63a
Ẑ(λ)=λẐ(1)+λ2Ẑ(2)+··· 63b

with

T̂(n)=T̂1(n)+T̂2(n)=∑iatia(n)âa†âi+∑iaνtiaν(n)âa†âib̂ν† 64a
Ẑ(n)=Ẑ1(n)+Ẑ2(n)=∑iazia(n)âi†âa+∑iaνziaν(n)b̂νâi†âa 64b

and the nth-order amplitude equations can be deduced from

T̂k(n)→1n!∂n⟨k|H̿(λ)|0⟩∂λn|λ=0=0 65a
Ẑk(n)→1n!∂n⟨0|H̿(λ)|k⟩∂λn|λ=0=0 65b

where k ∈ {1, 2}, |1⟩=âa†âi|0e0B⟩ , |2⟩=âa†âib̂ν†|0e0B⟩ , ⟨1| = (|1⟩)†, ⟨2| = (|2⟩)†, and |0⟩ ≡ |0e0B⟩ denotes the reference ground-state wave function.

Within the perturbative expansion, the nth-order contribution to the one-body density matrix is obtained from

γpq(n)=∂E(n)∂fpq 66

Under certain approximations, the first-order density matrix contributions of the occupied-occupied and virtual–virtual blocks is obtained from the second-order energy expression

E(2)=⟨0|[V̂,T̂(1)]+[Ẑ(1),V̂]+[Ẑ(1),[Ĥ0,T̂(1)]]|0⟩ 67

The resulting density matrix blocks coincide with the linearized one-body GW density matrix [see eq and eq ] only when canonical Hartree–Fock orbitals are employed. If this is not the case, additional terms, due to nonzero amplitudes tia(1) and zia(1) have to be considered in these blocks as well. Furthermore, only the first term of the occupied-virtual block [see eq ] is obtained at second-order, which is zero for canonical orbitals.

The additional terms of eq are recovered from a modified third-order energy expression

E(3)=⟨0|[V̂,T̂1(2)]+[Ẑ1(2),V̂]|0⟩ 68

Note that the resulting density matrix is not symmetric, i.e., γ pq ≠ γ qp , and is symmetrized throughout this work for convenience. The natural occupation numbers from the perturbative ECC treatment then coincide with those obtained from the linearized one-body GW density matrix, as reported in eqs –. Complete spin-adapted working equations are provided in the Supporting Information.

10. Computational Details

All calculations were performed using a custom implementation built on the PySCF package. , Unless otherwise stated, G 0 W 0 calculations were carried out without invoking the diagonal approximation, and all results employ Hartree–Fock as the mean-field starting point. The linearized GW density matrix was computed using the perturbative ECC framework described in Section . The test set consists of 23 small molecules with accurate theoretical best estimates (TBEs) for inner- and outer-valence ionization potentials (IPs), taken from ref . All calculations employ the aug-cc-pVQZ basis set. , We employ a large basis set to reduce basis set effects, thereby facilitating a more consistent, like-for-like comparison between the different schemes. The self-consistent field procedure is converged until the total energy changes by less than 10–9 E h. ECC amplitudes are iterated until the update satisfies ||Δ t || < 10–8 and ||Δ z || < 10–8. The Davidson solver used for computing G 0 W 0 quasiparticle energies is converged to 10–8 E h.

11. Numerical Results

First, we investigate the performance of various G 0 W 0 vertex corrections, as proposed in Section , for the calculation of the principal IPs (i.e., the lowest-energy IP of each system). The with mean absolute errors (MAEs) and mean-signed errors (MSEs) for these 23 principal IPs with respect to the reference TBE values for the benchmark set of ref are displayed in Table . The relative errors are provided in the Supporting Information, and the error distributions are visualized in the violin plots of Figure .

1. MAE and MSE (in eV) of the Principal IPs with Respect to the TBEs for the Benchmark Set of 23 Molecular Systems from Ref .

G 0 W 0 variants
  CCSD (diag) (full)
+ΓV+A+CRx
+ γ GW
+ΓVx+γGW
ΓV+Ax+γGW
+ΓV+Ax+γGW
+ΓV+A+CRx+γGW
MAE 0.098 0.423 0.420 0.400 0.166 0.082 0.116 0.119 0.108
MSE 0.053 0.403 0.405 0.332 0.035 –0.011 –0.017 –0.076 –0.039
a

Computed using various G 0 W 0 variants with the aug-cc-pVQZ basis.

b

EOM-IP-CCSD data taken from ref .

c

G 0 W 0 results computed within the diagonal approximation taken from ref .

1.

1

Violin plots of the errors (in eV) for the principal IPs obtained with various G 0 W 0 variants and EOM-IP-CCSD with respect to the TBEs for the benchmark set of 23 molecular systems from ref computed with the aug-cc-pVQZ basis. Note that ΓV+Ax=ΓVx+ΓAx and ΓV+A+CRx=ΓV+Ax+ΓCRx .

In total, eight distinct G 0 W 0 variants are considered. First, G 0 W 0 IPs are computed within the diagonal approximation (as reported in ref , denoted as G 0 W 0 (diag), as well as using the full self-energy, denoted as G 0 W 0 (full). Furthermore, we consider G 0 W 0 calculations including static Fock matrix corrections using the GW linearized density matrix (denoted as +γ GW ). Finally, we explore the effect of vertex corrections in H EOM: (i) ΓVx , (ii) ΓAx , and (iii) ΓCRx . For a motivation of these contributions, the reader is referred to Section . Combinations of these vertex corrections are also considered and are denoted as, for example, ΓV+Ax , corresponding to ΓVx+ΓAx . Vertex corrections are also considered in combination with static Fock matrix corrections.

Overall, similar errors in the principal IPs are observed for both G 0 W 0 (diag) and G 0 W 0 (full), MAEs of 0.423 and 0.420 eV, respectively. In general, the IPs for G 0 W 0 (diag) and G 0 W 0 (full) in combination with the Hartree–Fock starting point are systematically overestimated when compared to the TBEs. This is a known issue for G 0 W 0, ,,− and by performing full self-consistency, the IPs are known to be lowered. ,,− We observe a similar trend here, where the inclusion of static Fock matrix corrections based on the GW linearized density matrix lowers the IPs, resulting in a MAE of 0.166 eV. A similar trend has been observed in ref .

Including a combination of all three vertex corrections, ΓV+A+CRx , does only slightly improve the results, compared to G 0 W 0, and yields a MAE of 0.420 eV. However, when combined with static Fock matrix corrections, the MAE is significantly reduced. While all variants including vertex corrections in combination with static Fock matrix corrections (+ΓVx+γGW,+ΓAx+γGW,+ΓV+Ax+γGW,+ΓV+A+CRx+γGW) result in improvements when compared to G 0 W 0 + γ GW , the best performance is obtained when ΓVx is considered. In this case one finds a MAE of 0.082 eV, and a MSE of −0.011 eV, which is even better than the MAE of 0.098 eV and MSE of −0.053 eV obtained from EOM-IP-CCSD. All variants lower the magnitude of the IPs slightly further when compared to G 0 W 0 + γ GW , while also reducing the spread of the errors. This reflects the limitations of HF orbitals as a starting point for the G 0 W 0 calculation. We conjecture that similar improvements could be achieved using optimally tuned range-separated hybrid orbitals.

A direct comparison between the present results and previously proposed vertex corrections for molecular IPs is challenging. The available studies differ in several important aspects, including the molecular test sets considered, ,, the underlying mean-field starting points, as well as the basis sets and other numerical settings employed. , Even qualitative trends are difficult to establish: while some vertex-corrected schemes systematically decrease IPs, ,, others lead to an overall increase. , Recent evidence suggests that inclusion of vertex corrections only in P tends to reduce the quasiparticle gap and lower the IPs, whereas the inclusion of vertex corrections only in Σ tends to increase both the gap and the IPs. − ,, Achieving systematic improvements appears to require incorporating vertex corrections in both P and Σ. , Consequently, it is not straightforward to provide a definitive assessment of the present vertex corrections relative to alternative approaches. Nevertheless, we emphasize that the vertex corrections introduced here lead to a clear and significant improvement in the description of principal IPs.

Next, we assess the performance of the different G 0 W 0 variants for the second IPs. The error distributions are visualized in the violin plots of Figure , and MAEs and MSEs are displayed in Table . The relative errors are provided in the Supporting Information. For the second IPs, we observe overall similar trends as for the principal IPs. While G 0 W 0 (diag) and G 0 W 0 (full) yield similar MAEs of 0.474 and 0.466 eV, the inclusion of static Fock matrix corrections through the GW linearized density reduces the MAE to 0.306 eV. Notably, all vertex corrections in combination with γ GW yield significant improvements of more than 0.7 eV when compared to G 0 W 0 + γ GW . The best overall performance is achieved with +ΓV+A+CRx+γGW , resulting in a MAE of 0.183 eV, only slightly higher than the MAE of 0.157 eV obtained from EOM-IP-CCSD. Moreover, the corresponding MSE of 0.035 eV is lower than the MSE of 0.099 eV obtained for EOM-IP-CCSD. In all cases, the largest outlier is for Argon. Given the large reference TBE value for the second IP (29.182 eV), the relative error of 2.48% for EOM-IP-CCSD and 3.69% for G0W0+ΓV+A+CRx+γGW is relatively small compared to the absolute error of 0.725 and 1.078 eV, respectively.

2.

2

Violin plots of the errors (in eV) for the second IPs obtained with various G 0 W 0 variants and EOM-IP-CCSD with respect to the TBEs for the benchmark set of 23 molecular systems from ref computed with the aug-cc-pVQZ basis. Note that ΓV+Ax=ΓVx+ΓAx and ΓV+A+CRx=ΓV+Ax+ΓCRx .

2. MAE and MSE (in eV) of the Second IPs with Respect to the TBEs for the Benchmark Set of 23 Molecular Systems from Ref .

G 0 W 0 variants
  CCSD (diag) (full)
+ΓV+A+CRx
+ γ GW
+ΓVx+γGW
ΓV+Ax+γGW
+ΓV+Ax+γGW
+ΓV+A+CRx+γGW
MAE 0.157 0.461 0.466 0.413 0.306 0.237 0.255 0.204 0.184
MSE 0.099 0.427 0.437 0.341 0.147 0.090 0.077 0.001 0.035
a

Computed using various G 0 W 0 variants with the aug-cc-pVQZ basis.

b

EOM-IP-CCSD data taken from ref .

c

G 0 W 0 results computed within the diagonal approximation taken from ref .

12. Conclusion

In summary, we have established a formal connection between the extended direct ring coupled-cluster doubles (ECCD) framework and the G 0 W 0 approximation. When applied to the electron-boson Hamiltonian in combination with the equation-of-motion formalism, this procedure recovers the G 0 W 0 quasiparticle energies exactly. Furthermore, we have derived the linearized one-body GW density matrix within the ECC framework using perturbation theory. Exploiting the established connection between ECC and GW, we have proposed several vertex corrections beyond GW within the ECC framework, while retaining a sum-over-state presentation of the corresponding self-energy. Preliminary numerical results for a benchmark set of 23 small molecules demonstrate the potential of the proposed vertex corrections to significantly improve the accuracy of G 0 W 0 ionization potentials. Overall, the present work opens exciting avenues for including vertex corrections beyond GW within the ECC framework, such as the inclusion of particle–particle and hole–hole ladder contributions.

Supplementary Material

ct6c00378_si_001.pdf (107.3KB, pdf)

Acknowledgments

The authors would like to thank Antoine Marie for insightful discussions. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 863481). J.T. acknowledges funding from the Fonds der Chemischen Industrie (FCI) via a Liebig fellowship and support by the Cluster of Excellence “CUI: Advanced Imaging of Matter” of the Deutsche Forschungsgemeinschaft (DFG) (EXC 2056, Funding ID 390715994). For this work, the HPC cluster Hummel-2 at the University of Hamburg was used. The cluster was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 498394658. Support and funding from the European Research Council (ERC) (Grant Agreement No. 101087184) is gratefully acknowledged.

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.6c00378.

  • The derivations and working equations supporting the connection between the GW approximation and the extended coupled-cluster framework (key amplitude identities, the full spin-adapted EOM σ-vector equations, including the G 0 W 0–TDA subset and ECC-based vertex corrections, and the perturbative ECC formulation of the linearized one-body GW density matrix). It also reports the errors of the principal IPs with respect to the TBEs for the benchmark set of 23 molecular systems (PDF)

The authors declare no competing financial interest.

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