- Open Access
Lower bounds to variational problems with guarantees
Phys. Rev. A 113, 022214 – Published 17 February, 2026
DOI: https://doi.org/10.1103/cz6k-y46r
Abstract
Variational methods play an important role in the study of quantum many-body problems, both in the flavor of classical variational principles based on tensor networks as well as of quantum variational principles in near-term quantum computing. This work stresses that for translationally invariant lattice Hamiltonians with periodic boundary conditions, one can easily derive efficiently computable lower bounds to ground state energies that can and should be compared with variational principles providing upper bounds. As small technical results, it is shown that (i) the Anderson bound and a (ii) common hierarchy of semidefinite relaxations both provide approximations with performance guarantees that scale as a constant in the energy density for cubic lattices. (iii) Also, the Anderson bound is systematically improved as a hierarchy of semidefinite relaxations inspired by the quantum marginal problem.
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References (32)
- D. S. Sholl and J. A. Steckel, Density Functional Theory: A Practical Introduction (Wiley, Hoboken, NJ, 2009).
- J. Gubernatis, N. Kawashima, and P. Werner, Quantum Monte Carlo Methods: Algorithms for Lattice Models (Cambridge University Press, Cambridge, U.K., 2016).
- R. Orús, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349, 117 (2014).
- J. I. Cirac, D. Pérez-García, N. Schuch, and F. Verstraete, Matrix product states and projected entangled pair states: Concepts, symmetries, theorems, Rev. Mod. Phys. 93, 045003 (2021).
- U. Schollwöck, The density-matrix renormalization group in the age of matrix product states, Ann. Phys. 326, 96 (2011).
- J. Eisert, M. Cramer, and M. B. Plenio, Area laws for the entanglement entropy, Rev. Mod. Phys. 82, 277 (2010).
- J. R. McClean, J. Romero, R. Babbush, and A. Aspuru-Guzik, The theory of variational hybrid quantum-classical algorithms, New J. Phys. 18, 023023 (2016).
- K. Bharti, A. Cervera-Lierta, T. H. Kyaw, T. Haug, S. Alperin-Lea, A. Anand, M. Degroote, H. Heimonen, J. S. Kottmann, T. Menke, et al., Noisy intermediate-scale quantum (NISQ) algorithms, Rev. Mod. Phys. 94, 015004 (2022).
- R. Sweke, F. Wilde, J. Meyer, M. Schuld, P. K. Fährmann, B. Meynard-Piganeau, and J. Eisert, Stochastic gradient descent for hybrid quantum-classical optimization, Quantum 4, 314 (2020).
- J. R. McClean, S. Boixo, V. N. Smelyanskiy, R. Babbush, and H. Neven, Barren plateaus in quantum neural network training landscapes, Nat. Commun. 9, 4812 (2018).
- M. Larocca, S. Thanasilp, S. Wang, K. Sharma, J. Biamonte, P. J. Coles, L. Cincio, J. R. McClean, Z. Holmes, and M. Cerezo, Barren plateaus in variational quantum computing, Nat. Rev. Phys. 7, 174 (2025).
- E. Gil-Fuster, C. Gyurik, A. Perez-Salinas, and V. Dunjko, On the relation between trainability and dequantization of variational quantum learning models, arXiv:2406.07072.
- M. Cerezo, M. Larocca, D. García-Martín, N. L. Diaz, P. Braccia, E. Fontana, M. S. Rudolph, P. Bermejo, A. Ijaz, S. Thanasilp, E. R. Anschuetz, and Z. Holmes, Does provable absence of barren plateaus imply classical simulability? Nat. Commun. 16, 7907 (2025).
- P. W. Anderson, Limits on the energy of the antiferromagnetic ground state, Phys. Rev. 83, 1260 (1951).
- D. A. Mazziotti, Quantum Chemistry without wave functions: Two-electron reduced density matrices, Acc. Chem. Res. 39, 207 (2006).
- T. Barthel and R. Hübener, Solving condensed-matter ground-state problems by semidefinite relaxations, Phys. Rev. Lett. 108, 200404 (2012).
- T. Baumgratz and M. B. Plenio, Lower bounds for ground states of condensed matter systems, New J. Phys. 14, 023027 (2012).
- M. Navascues, S. Pironio, and A. Acin, A convergent hierarchy of semidefinite programs characterizing the set of quantum correlations, New J. Phys. 10, 073013 (2008).
- F. Baccari, C. Gogolin, P. Wittek, and A. Acín, Verifying the output of quantum optimizers with ground-state energy lower bounds, Phys. Rev. Res. 2, 043163 (2020).
- S. Boyd and L. Vanderberghe, Convex Optimization (Cambridge University Press, Cambridge, 2004).
- C. Schilling, The quantum marginal problem, Mathematical Results in Quantum Mechanics (World Scientific, Singapore, 2014), pp. 165–176.
- M. Christandl and G. Mitchison, The spectra of density operators and the Kronecker coefficients of the symmetric group, Commun. Math. Phys. 261, 789 (2006).
- S. Gharibian and F. L. Gall, Dequantizing the quantum singular value transformation: Hardness and applications to quantum chemistry and the quantum PCP conjecture, in Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing (STOC 2022) (ACM, New York, 2022), pp. 19–32.
- J. Eisert and J. Preskill, Mind the gaps: The fraught road to quantum advantage, arXiv:2510.19928.
- D. Aharonov, I. Arad, and T. Vidick, The quantum PCP conjecture, SIGACT News 44, 47 (2013).
- M. B. Hastings and R. O'Donnell, Optimizing strongly interacting fermionic Hamiltonians, in Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing (STOC 2022) (Association for Computing Machinery, New York, 2022), pp. 776–789.
- Y. Herasymenko, M. Stroeks, J. Helsen, and B. Terhal, Optimizing sparse fermionic Hamiltonians, Quantum 7, 1081 (2023).
- S. Sachdev and J. Ye, Gapless spin-fluid ground state in a random quantum Heisenberg magnet, Phys. Rev. Lett. 70, 3339 (1993).
- A. Kitaev, A simple model of quantum holography (Part 1) (2015), KITP strings seminar, Entanglement 2015 program, https://online.kitp.ucsb.edu/online/entangled15/kitaev/.
- A. Kitaev, A simple model of quantum holography (part 2) (2015), KITP strings seminar, Entanglement 2015 program https://online.kitp.ucsb.edu/online/entangled15/kitaev2/.
- R. Martinazzo and E. Pollak, Lower bounds to eigenvalues of the Schrödinger equation by solution of a 90-y challenge, Proc. Natl. Acad. Sci. USA 117, 16181 (2020).
- I. Kull, N. Schuch, B. Dive, and M. Navascues, Lower bounding ground-state energies of local Hamiltonians through the renormalization group, Phys. Rev. X 14, 021008 (2024).