Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Quantum circuits for SU(3) lattice gauge theory

Praveen Balaji1, Cianán Conefrey-Shinozaki1, Patrick Draper1,*, Jason K. Elhaderi1, Drishti Gupta1, Luis Hidalgo1, Andrew Lytle1, and Enrico Rinaldi2

  • 1Department of Physics, University of Illinois, Urbana, Illinois 61801, USA
  • 2Quantinuum K.K., Otemachi Financial City Grand Cube 3F, 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan

  • *Contact author: pdraper@illinois.edu

Phys. Rev. D 112, 054511 – Published 24 September, 2025

DOI: https://doi.org/10.1103/k8f6-yft8

Abstract

Lattice gauge theories in varying dimensions, lattice volumes, and truncations offer a rich family of targets for Hamiltonian simulation on quantum devices. In return, formulating quantum simulations can provide new ways of thinking about the quantum structure of gauge theories. In this work, we consider pure SU(3) gauge theory in two and three spatial dimensions in a streamlined version of the electric basis. We use a formulation of the theory that balances locality of the Hamiltonian and size of the gauge-invariant state space, and we classically pre-compute dictionaries of plaquette operator matrix elements for use in circuit construction. We build circuits for simulating time evolution on arbitrary lattice volumes, spanning circuits suitable for Noisy Intermediate-Scale Quantum era hardware to future fault-tolerant devices. Relative to spin models, time evolution in lattice gauge theories involves more complex local unitaries, and the Hilbert space of all quantum registers may have large unphysical subspaces. Based on these features, we develop general, volume-scalable tools for optimizing circuit depth, including pruning and fusion algorithms for collections of large multicontrolled unitaries. We describe scalings of quantum resources needed to simulate larger circuits and some directions for future algorithmic development.

View figure in article

Physics Subject Headings (PhySH)

Corrections

7 November, 2025

Correction: Missing lines in the quantum circuits represented in Eq. (23), Eq. (25), Fig. 5, and Fig. 6 have been restored.

Article Text

References (58)

  1. J. B. Kogut and L. Susskind, Hamiltonian formulation of Wilson’s lattice gauge theories, Phys. Rev. D 11, 395 (1975).
  2. J. Bulava, R. Briceño, W. Detmold, M. Döring, R. G. Edwards, A. Francis, F. Knechtli, R. Lewis, S. Prelovsek, S. M. Ryan, A. Rusetsky, S. R. Sharpe, A. Szczepaniak, C. E. Thomas, M. L. Wagman, and M. Wagner, Hadron spectroscopy with lattice QCD, arXiv:2203.03230.
  3. A. S. Meyer, A. Walker-Loud, and C. Wilkinson, Status of lattice QCD determination of nucleon form factors and their relevance for the few-GeV neutrino program, Annu. Rev. Nucl. Part. Sci. 72, 205 (2022).
  4. A. S. Kronfeld et al. (USQCD Collaboration), Lattice QCD and particle physics, arXiv:2207.07641.
  5. Y. Aoki et al. (Flavour Lattice Averaging Group (FLAG) Collaboration), FLAG review 2024, arXiv:2411.04268.
  6. C. W. Bauer, Z. Davoudi, N. Klco, and M. J. Savage, Quantum simulation of fundamental particles and forces, Nat. Rev. Phys. 5, 420 (2023).
  7. C. W. Bauer et al., Quantum simulation for high-energy physics, PRX Quantum 4, 027001 (2023).
  8. A. Di Meglio et al., Quantum computing for high-energy physics: State of the art and challenges, PRX Quantum 5, 037001 (2024).
  9. A. Ciavarella, N. Klco, and M. J. Savage, Trailhead for quantum simulation of SU(3) Yang-Mills lattice gauge theory in the local multiplet basis, Phys. Rev. D 103, 094501 (2021).
  10. M. S. Alam, S. Hadfield, H. Lamm, and A. C. Y. Li (SQMS Collaboration), Primitive quantum gates for dihedral gauge theories, Phys. Rev. D 105, 114501 (2022).
  11. Z. Davoudi, A. F. Shaw, and J. R. Stryker, General quantum algorithms for Hamiltonian simulation with applications to a non-Abelian lattice gauge theory, Quantum 7, 1213 (2023).
  12. C. W. Bauer, I. D’Andrea, M. Freytsis, and D. M. Grabowska, A new basis for Hamiltonian SU(2) simulations, Phys. Rev. D 109, 074501 (2024).
  13. J. Zhang, S. W. Tsai, and Y. Meurice, Critical behavior of lattice gauge theory Rydberg simulators from effective Hamiltonians, Phys. Rev. D 110, 034513 (2024).
  14. Z. Davoudi, C.-C. Hsieh, and S. V. Kadam, Scattering wave packets of hadrons in gauge theories: Preparation on a quantum computer, Quantum 8, 1520 (2024).
  15. D. M. Grabowska, C. F. Kane, and C. W. Bauer, A fully gauge-fixed SU(2) Hamiltonian for quantum simulations, Phys. Rev. D 111, 114516 (2025).
  16. H. Lamm, Y.-Y. Li, J. Shu, Y.-L. Wang, and B. Xu, Block encodings of discrete subgroups on a quantum computer, Phys. Rev. D 110, 054505 (2024).
  17. B. Assi and H. Lamm, Digitization and subduction of SU(N) gauge theories, Phys. Rev. D 110, 074511 (2024).
  18. I. M. Burbano and C. W. Bauer, Gauge loop-string-hadron formulation on general graphs and applications to fully gauge fixed Hamiltonian lattice gauge theory, arXiv:2409.13812.
  19. D. M. Kürkçüoglu, H. Lamm, and A. Maestri, Qudit gate decomposition dependence for lattice gauge theories, arXiv:2410.16414.
  20. T. Jakobs, M. Garofalo, T. Hartung, K. Jansen, J. Ostmeyer, S. Romiti, and C. Urbach, Dynamics in Hamiltonian lattice gauge theory: Approaching the continuum limit with partitionings of SU(2), arXiv:2503.03397.
  21. V. Ale, N. M. Bauer, R. G. Jha, F. Ringer, and G. Siopsis, Quantum computation of SU(2) lattice gauge theory with continuous variables, J. High Energy Phys. 06 (2025) 084.
  22. J. C. Halimeh, M. Hanada, S. Matsuura, F. Nori, E. Rinaldi, and A. Schäfer, A universal framework for the quantum simulation of Yang-Mills theory, arXiv:2411.13161.
  23. P. Fontana, M. M. Riaza, and A. Celi, An efficient finite-resource formulation of non-Abelian lattice gauge theories beyond one dimension, arXiv:2409.04441.
  24. T. Byrnes and Y. Yamamoto, Simulating lattice gauge theories on a quantum computer, Phys. Rev. A 73, 022328 (2006).
  25. S. V. Kadam, I. Raychowdhury, and J. R. Stryker, Loop-string-hadron formulation of an SU(3) gauge theory with dynamical quarks, Phys. Rev. D 107, 094513 (2023).
  26. A. N. Ciavarella, Quantum simulation of lattice QCD with improved Hamiltonians, Phys. Rev. D 108, 094513 (2023).
  27. R. C. Farrell, I. A. Chernyshev, S. J. M. Powell, N. A. Zemlevskiy, M. Illa, and M. J. Savage, Preparations for quantum simulations of quantum chromodynamics in 1+1 dimensions. I. Axial gauge, Phys. Rev. D 107, 054512 (2023).
  28. Y. Y. Atas, J. F. Haase, J. Zhang, V. Wei, S. M.-L. Pfaendler, R. Lewis, and C. A. Muschik, Simulating one-dimensional quantum chromodynamics on a quantum computer: Real-time evolutions of tetra- and pentaquarks, Phys. Rev. Res. 5, 033184 (2023).
  29. A. Kan and Y. Nam, Lattice quantum chromodynamics and electrodynamics on a universal quantum computer, arXiv:2107.12769.
  30. M. Fromm, O. Philipsen, W. Unger, and C. Winterowd, Quantum gate sets for lattice QCD in the strong-coupling limit: nf=1, Eur. Phys. J. Quantum Technol. 11, 24 (2024).
  31. E. J. Gustafson, Y. Ji, H. Lamm, E. M. Murairi, S. O. Perez, and S. Zhu, Primitive quantum gates for an SU(3) discrete subgroup: Σ(36×3). Phys. Rev. D 110, 034515 (2024).
  32. E. J. Gustafson, Y. Ji, H. Lamm, E. M. Murairi, S. O. Perez, and S. Zhu, Primitive quantum gates for an SU(3) discrete subgroup: Σ(36×3), Phys. Rev. D 110, 034515 (2024).
  33. A. N. Ciavarella and C. W. Bauer, Quantum simulation of SU(3) lattice Yang-Mills theory at leading order in large-Nc expansion, Phys. Rev. Lett. 133, 111901 (2024).
  34. S. V. Kadam, A. Naskar, I. Raychowdhury, and J. R. Stryker, Loop-string-hadron approach to SU(3) lattice Yang-Mills theory: Gauge invariant Hilbert space of a trivalent vertex, arXiv:2407.19181.
  35. G. Bergner, M. Hanada, E. Rinaldi, and A. Schäfer, Toward QCD on quantum computer: Orbifold lattice approach, J. High Energy Phys. 05 (2024) 234.
  36. A. T. Than et al., The phase diagram of quantum chromodynamics in one dimension on a quantum computer, arXiv:2501.00579.
  37. S. V. Kadam, A. Naskar, I. Raychowdhury, and J. R. Stryker, Loop-string-hadron approach to SU(3) lattice Yang-Mills theory: Gauge invariant Hilbert space of a trivalent vertex, Phys. Rev. D 111, 074516 (2025).
  38. Quantinuum, https://www.quantinuum.com/ (2025).
  39. E. Zohar and M. Burrello, Formulation of lattice gauge theories for quantum simulations, Phys. Rev. D 91, 054506 (2015).
  40. M. C. Bañuls, K. Cichy, J. I. Cirac, K. Jansen, and S. Kühn, Efficient basis formulation for 1+1 dimensional SU(2) lattice gauge theory: Spectral calculations with matrix product states, Phys. Rev. X 7, 041046 (2017).
  41. N. Klco, J. R. Stryker, and M. J. Savage, SU(2) non-Abelian gauge field theory in one dimension on digital quantum computers, Phys. Rev. D 101, 074512 (2020).
  42. A. H. Z. Kavaki and R. Lewis, From square plaquettes to triamond lattices for SU(2) gauge theory, Commun. Phys. 7, 208 (2024).
  43. A. Alex, M. Kalus, A. Huckleberry, and J. von Delft, A numerical algorithm for the explicit calculation of SU(N) and SL(N,C) Clebsch-Gordan coefficients, J. Math. Phys. (N.Y.) 52, 023507 (2011).
  44. A. Ciavarella, N. Klco, and M. J. Savage, Some conceptual aspects of operator design for quantum simulations of non-Abelian lattice gauge theories, arXiv:2203.11988.
  45. C. Jacobi, Über ein leichtes verfahren die in der theorie der säcularstörungen vorkommenden gleichungen numerisch aufzulösen, J. Reine Angew. Math. 1846, 51 (1846).
  46. Z. Jia, W. Huie, L. Li, W. K. C. Sun, X. Hu, Aakash, H. Kogan, A. Karve, J. Y. Lee, and J. P. Covey, An architecture for two-qubit encoding in neutral ytterbium-171 atoms, npj Quantum Inf. 10, 106 (2024).
  47. M. Li, F.-Q. Guo, Z. Jin, L.-L. Yan, E.-J. Liang, and S.-L. Su, Multiple-qubit controlled unitary quantum gate for Rydberg atoms using shortcut to adiabaticity and optimized geometric quantum operations, Phys. Rev. A 103, 062607 (2021).
  48. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, Cambridge, England, 2010).
  49. B. Zindorf and S. Bose, Efficient implementation of multi-controlled quantum gates, arXiv:2404.02279.
  50. D. Maslov, Advantages of using relative-phase Toffoli gates with an application to multiple control Toffoli optimization, Phys. Rev. A 93, 022311 (2016).
  51. A. Barenco, C. H. Bennett, R. Cleve, D. P. DiVincenzo, N. Margolus, P. Shor, T. Sleator, J. A. Smolin, and H. Weinfurter, Elementary gates for quantum computation, Phys. Rev. A 52, 3457 (1995).
  52. Tables generator, https://www.tablesgenerator.com/latex_tables (accessed: 2025-02-11).
  53. A. N. Ciavarella, C. W. Bauer, and J. C. Halimeh, Generic Hilbert space fragmentation in Kogut–Susskind lattice gauge theories, arXiv:2502.03533.
  54. C. Kane, D. M. Grabowska, B. Nachman, and C. W. Bauer, Efficient quantum implementation of 2+1 U(1) lattice gauge theories with Gauss law constraints, arXiv:2211.10497.
  55. G. P. Lepage and P. B. Mackenzie, On the viability of lattice perturbation theory, Phys. Rev. D 48, 2250 (1993).
  56. M. Carena, H. Lamm, Y.-Y. Li, and W. Liu, Improved Hamiltonians for quantum simulations of gauge theories, Phys. Rev. Lett. 129, 051601 (2022).
  57. BlueQubit, https://www.bluequbit.io/ (2025).
  58. W. Gropp, T. Boerner, B. Bode, G. Bauer, and C. Stirm, Delta: Balancing GPU performance with advanced system interfaces, Technical Report, 2023, https://hdl.handle.net/2142/117179.

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation