The t-J-V model describes the CuO2 planes of the cuprates as a doped Mott insulator: electron hopping tt, antiferromagnetic superexchange JJ, strict exclusion of double site occupancy, and a nearest-neighbor Coulomb repulsion VV. Large-NN calculations (a controlled expansion in the spin degeneracy NN of the electron, with N=2N=2 the physical case) by Zinni, Bejas, and Greco [Phys. Rev. B 103, 134504 (2021)] found that at mean-field level a repulsive VV of order JJ destroys d-wave superconductivity, but that fluctuations of the no-double-occupancy constraint screen VV, leaving an unretarded (instantaneous) JJ-driven d-wave pairing that survives even for V≫JV \gg J. The same approximation, however, suppresses spin fluctuations, so it cannot decide whether the physical (N=2N=2) system's pairing is retarded — mediated by a bosonic glue such as spin fluctuations or flux-phase bond-charge fluctuations (the flux phase being a state of staggered circulating bond currents) — or unretarded. The open problem is to determine, by controlled analytic or unbiased numerical means, the frequency-resolved structure of the d-wave pairing interaction in the t-J-V model (equivalently the extended Hubbard model in its large-UU limit, retaining the nearest-neighbor repulsion VV) with the constraint enforced beyond mean field: which channel dominates, whether the constraint-induced screening and robustness against VV survive at N=2N=2, whether bond-charge instabilities can serve as the retarded glue, and what superconducting TcT_c follows once retardation is treated consistently.

Background

The superconducting copper oxides (cuprates) have resisted a settled microscopic explanation since their discovery in 1986 (Keimer, Kivelson, Norman, Uchida, and Zaanen, Nature 518, 179 (2015)). Their minimal description starts from the two-dimensional Hubbard model, which in the regime of large on-site repulsion U≫tU \gg t and low hole doping maps onto the t-J model: electrons hop with amplitude tt on a square lattice while double occupation of any site is strictly forbidden (the no-double-occupancy constraint, the defining feature of a doped Mott insulator — a Mott insulator is one made insulating by this inter-electron repulsion rather than by band filling), and neighboring spins are coupled by the antiferromagnetic superexchange J∼4t2/UJ \sim 4t^2/U. The t-J-V model adds a nearest-neighbor Coulomb repulsion VV, the leading remnant of the long-range Coulomb tail once the on-site part is absorbed into UU. In conventional superconductors pairing is retarded: an effectively instantaneous bare repulsion is overcome because the attractive part of the interaction is mediated by slow bosons (phonons), and this frequency-dependent attractive part — the pairing 'glue' — controls the superconducting transition temperature TcT_c through retardation (cutoff) effects. For the cuprates, P. W. Anderson proposed early on (Science 235, 1196 (1987)) that pairing is instead carried by the superexchange JJ itself, an unretarded (instantaneous) attraction in the dd-wave channel that requires no glue, while a major school attributes pairing to a retarded glue made of antiferromagnetic spin fluctuations. A numerical decomposition by Maier, Poilblanc, and Scalapino (Phys. Rev. Lett. 100, 237001 (2008)) found that in the t-J model both an instantaneous J(k−k′)J(\mathbf{k}-\mathbf{k}') contribution and a retarded spin-fluctuation contribution are present, with the retarded part dominant — sharpening the dichotomy rather than settling it. Zinni, Bejas, and Greco (Phys. Rev. B 103, 134504 (2021)) revisited the question in the t-J-V model using a large-NN expansion (an approximation controlled in 1/N1/N, i.e., in the inverse spin degeneracy) built on a path integral over Hubbard operators (electron operators with double occupancy projected out), in which the constraint is imposed by a Lagrange multiplier whose fluctuations enter a bosonic propagator mixing on-site charge and bond-charge (link) fluctuations. Their findings: (a) at mean-field level (bare boson propagator), a repulsive VV of order JJ destroys d-wave superconductivity; (b) with the boson propagator dressed by constraint fluctuations, VV is screened in a random-phase-approximation-like (RPA-like) way — the standard summation of charge-bubble insertions — and d-wave pairing remains robust even for V≫JV \gg J, the surviving attractive channel being the unretarded J(k−k′)J(\mathbf{k}-\mathbf{k}') term; (c) a retarded contribution arises from the flux phase — a state of staggered circulating bond currents introduced by Affleck and Marston (Phys. Rev. B 37, 3774 (1988)) in the large-nn analysis of the Hubbard model, equivalent to the dd-form-factor density wave proposed as hidden order in the pseudogap regime by Chakravarty, Laughlin, Morr, and Nayak (Phys. Rev. B 63, 094503 (2001)) — but it enhances pairing only near the flux-phase critical doping δc≈0.13\delta_c \approx 0.13. The authors themselves state what their scheme cannot decide: the large-NN approximation suppresses spin fluctuations relative to charge fluctuations, so for the physical case N=2N=2 a dominant retarded spin-mediated channel cannot be ruled out; the flux-phase interpretation of the pseudogap remains controversial (numerical studies disagree — Dong and Gull (Phys. Rev. B 101, 195115 (2020)) found only short-range charge fluctuations in the two-dimensional Hubbard model — and photoemission sees Fermi arcs rather than the pockets a flux state would produce); the extension to the large-UU Hubbard model with a retarded/unretarded decomposition was left as future work; and quantitative TcT_c prediction requires treating retardation (the frequency dependence of the effective interaction and cutoff frequencies) beyond the weak-coupling Fermi-surface projection used. Unbiased tools that could address the question include the dynamical cluster approximation (DCA, a quantum-cluster extension of dynamical mean-field theory that maps the lattice onto a finite cluster embedded in a self-consistently determined bath) and density matrix renormalization group (DMRG, a variational method that optimally truncates the many-body Hilbert space to a matrix-product state) simulations on cylinders.

Problem Statement

Determine the dynamical (frequency-resolved) structure of the dx2−y2d_{x^2-y^2}-wave pairing interaction in the t-J-V model — equivalently, the extended Hubbard model in its large-UU limit, retaining the nearest-neighbor repulsion VV — with the no-double-occupancy constraint treated beyond mean field, and thereby decide whether superconductivity in this canonical model of the cuprates needs a glue at all. Concretely: (i) which contribution dominates the physical (N=2N=2, unapproximated) d-wave pairing — the retarded, boson-mediated channel (spin fluctuations, or flux-phase/bond-charge fluctuations) or the unretarded exchange term J(k−k′)J(\mathbf{k}-\mathbf{k}'); (ii) whether the screening of the nearest-neighbor Coulomb repulsion V(q)V(\mathbf{q}) by fluctuations of the constraint — which in the large-NN treatment renders d-wave superconductivity robust even for V≫JV \gg J — survives in unbiased treatments of the physical model, including its interplay with the charge-ordered, phase-separated, and pseudogap-like states that VV favors; (iii) whether the flux phase or related bond-charge instabilities can supply the retarded glue, and how robust that contribution is beyond the large-NN scheme; and (iv) what superconducting TcT_c follows once the frequency dependence of the effective pairing interaction and retardation cutoffs are treated consistently. These facets jointly serve one objective — fixing the with-glue versus without-glue character of the pairing — and a study that resolves the dominant-channel question and the fate of the VV-screening for the constrained model at physical parameter values would complete it, with (iii) and (iv) supplying the identification of the glue (if retarded dominates) and its quantitative consequence.

References

  1. Luciano Zinni, Matías Bejas, Andrés Greco, Superconductivity with and without glue and the role of the double-occupancy forbidding constraint in the t-J-V model, Phys. Rev. B 103, 134504 (2021). DOI: 10.1103/PhysRevB.103.134504; arXiv:2104.02288. https://doi.org/10.1103/PhysRevB.103.134504
  2. B. Keimer, S. A. Kivelson, M. R. Norman, S. Uchida, J. Zaanen, From quantum matter to high-temperature superconductivity in copper oxides, Nature 518, 179 (2015). DOI: 10.1038/nature14165. https://doi.org/10.1038/nature14165
  3. P. W. Anderson, The resonating valence bond state in La2CuO4 and superconductivity, Science 235, 1196 (1987). DOI: 10.1126/science.235.4793.1196. https://doi.org/10.1126/science.235.4793.1196
  4. T. A. Maier, D. Poilblanc, D. J. Scalapino, Dynamics of the pairing interaction in the Hubbard and t-J models of high-temperature superconductors, Phys. Rev. Lett. 100, 237001 (2008). DOI: 10.1103/PhysRevLett.100.237001; arXiv:0801.4506. https://doi.org/10.1103/PhysRevLett.100.237001
  5. S. Chakravarty, R. B. Laughlin, D. K. Morr, C. Nayak, Hidden order in the cuprates, Phys. Rev. B 63, 094503 (2001). DOI: 10.1103/PhysRevB.63.094503. https://doi.org/10.1103/PhysRevB.63.094503
  6. I. Affleck, J. B. Marston, Large-n limit of the Heisenberg-Hubbard model: Implications for high-Tc superconductors, Phys. Rev. B 37, 3774 (1988). DOI: 10.1103/PhysRevB.37.3774. https://doi.org/10.1103/PhysRevB.37.3774
  7. Nguen Dan Tung, Artem A. Vladimirov, Nikolay M. Plakida, Electronic spectrum and superconductivity in the extended t-J-V model, Physica C 587, 1353900 (2021). DOI: 10.1016/j.physc.2021.1353900; arXiv:2107.03131. https://doi.org/10.1016/j.physc.2021.1353900
  8. Xinyang Dong, Emanuel Gull, Andrew J. Millis, Quantifying the role of antiferromagnetic fluctuations in the superconductivity of the doped Hubbard model, Nat. Phys. 18, 1293 (2022). DOI: 10.1038/s41567-022-01710-z; arXiv:2202.10577. https://doi.org/10.1038/s41567-022-01710-z
  9. Xinyang Dong, Lorenzo Del Re, Alessandro Toschi, Emanuel Gull, Mechanism of superconductivity in the Hubbard model at intermediate interaction strength, PNAS 119, e2205048119 (2022). DOI: 10.1073/pnas.2205048119; arXiv:2205.06286. https://doi.org/10.1073/pnas.2205048119
  10. Qianqian Chen, Lei Qiao, Fuchun Zhang, Zheng Zhu, Phase diagram of the square-lattice t-J-V model for electron-doped cuprates, Phys. Rev. B 110, 045134 (2024). DOI: 10.1103/PhysRevB.110.045134; arXiv:2312.05893. https://doi.org/10.1103/PhysRevB.110.045134
  11. Ke Yang, Qianqian Chen, Lei Qiao, Zheng Zhu, Mean-field study of superconductivity in the t-J square lattice model with three-site hopping, Phys. Rev. B 110, 054514 (2024). DOI: 10.1103/PhysRevB.110.054514; arXiv:2406.08780. https://doi.org/10.1103/PhysRevB.110.054514
  12. Lukas Homeier, Hannah Lange, Eugene Demler, Annabelle Bohrdt, Fabian Grusdt, Feshbach hypothesis of high-Tc superconductivity in cuprates, Nat. Commun. 16, 314 (2025). DOI: 10.1038/s41467-024-55549-4; arXiv:2312.02982. https://doi.org/10.1038/s41467-024-55549-4
  13. Yves Noat, Alain Mauger, William Sacks, Condensation mechanism of high-Tc cuprates: The key role of pairon excitations, Solid State Commun. 408, 116252 (2026). DOI: 10.1016/j.ssc.2025.116252; arXiv:2601.04655. https://doi.org/10.1016/j.ssc.2025.116252
  14. C. M. Duffy, S. J. Tu, Q. H. Chen, J. S. Zhang, A. Cuoghi, R. D. H. Hinlopen, T. Sarkar, R. L. Greene, K. Jin, N. E. Hussey, Evidence for spin-fluctuation-mediated superconductivity in electron-doped cuprates (2025). arXiv:2502.13612. https://arxiv.org/abs/2502.13612
  15. Xinyang Dong, Emanuel Gull, Short-range charge fluctuations in the two-dimensional Hubbard model, Phys. Rev. B 101, 195115 (2020). DOI: 10.1103/PhysRevB.101.195115. https://doi.org/10.1103/PhysRevB.101.195115
  16. Thomas Schäfer, Nils Wentzell, Fedor Šimkovic IV, Yuan-Yao He, Cornelia Hille, Marcel Klett, Christian J. Eckhardt, Behnam Arzhang, Viktor Harkov, François-Marie Le Régent, Alfred Kirsch, Yan Wang, Aaram J. Kim, Evgeny Kozik, Evgeny A. Stepanov, Anna Kauch, Sabine Andergassen, Philipp Hansmann, Daniel Rohe, Yuri M. Vilk, James P. F. LeBlanc, Shiwei Zhang, A.-M. S. Tremblay, Michel Ferrero, Olivier Parcollet, Antoine Georges, Tracking the footprints of spin fluctuations: A multiMethod, multiMessenger study of the two-dimensional Hubbard model, Phys. Rev. X 11, 011058 (2021). DOI: 10.1103/PhysRevX.11.011058; arXiv:2006.10769. https://doi.org/10.1103/PhysRevX.11.011058
  17. Hiroyuki Yamase, Beyond on-site Hubbard interaction in charge dynamics of cuprate superconductors, Advances in Physics 75, 1 (2026). DOI: 10.1080/00018732.2026.2618329; arXiv:2512.21868. https://doi.org/10.1080/00018732.2026.2618329
  18. Andrey V. Chubukov, Jörg Schmalian, Pairing glue in cuprate superconductors from the self-energy revealed via machine learning, Phys. Rev. B 101, 180510(R) (2020). DOI: 10.1103/PhysRevB.101.180510; arXiv:2002.02994. https://doi.org/10.1103/PhysRevB.101.180510
  19. Matías Bejas, Xianxin Wu, Debmalya Chakraborty, Andreas P. Schnyder, Andrés Greco, Out-of-plane bond-order phase, superconductivity, and their competition in the tt-J∥J_\parallel-J⊥J_\perp model: Possible implications for bilayer nickelates, Phys. Rev. B 111, 144514 (2025). DOI: 10.1103/PhysRevB.111.144514; arXiv:2411.00269. https://doi.org/10.1103/PhysRevB.111.144514