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

Classical simulability of Clifford+T circuits with Clifford-augmented matrix product states

Zejun Liu and Bryan K. Clark*

  • The Anthony J. Leggett Institute for Condensed Matter Theory and IQUIST and NCSA Center for Artificial Intelligence Innovation and Department of Physics, University of Illinois at Urbana-Champaign, Illinois 61801, USA

  • *Contact author: bkclark@illinois.edu

Phys. Rev. Research 8, 023116 – Published 4 May, 2026

DOI: https://doi.org/10.1103/ybnf-rjw8

Abstract

Determining the quantum-classical boundary between quantum circuits that can be efficiently simulated classically and those that cannot remains a fundamental question. One approach to classical simulation is to represent the output of a quantum circuit as a Clifford-augmented matrix product state (CAMPS), which, via a disentangling algorithm, decomposes the wave function into Clifford and MPS components, and from which Pauli expectation values can be computed in time polynomial in the MPS bond dimension. In this work, we develop an optimization-free disentangling (OFD) algorithm for Clifford circuits either doped with T gates or, equivalently, preceded by multiqubit gates of the form αI+βP. We give a simple and easily computed algebraic criterion that characterizes the individual quantum circuits for which OFD generates an efficient CAMPS—the bond dimension is exponential in the null space of a Galois binary field GF(2) matrix induced by a tableau of the twisted Pauli strings P. This significantly increases the number of circuits with rigorous polynomial-time classical simulations. We also give evidence that the typical N qubit random Clifford circuit doped with N uniformly distributed T gates of polylogarithmic depth or greater has a CAMPS with polynomial bond dimension. In addition, we compare OFD against disentangling by optimization. We further explore the representability of CAMPS for random Clifford circuits doped with more than N T gates. We also propose algorithms for sampling, probability, and amplitude estimation of bitstrings, and evaluation of entanglement Rényi entropy from CAMPS, which, though still having exponential complexity, are more efficient than standard MPS simulations. This work establishes a versatile framework for understanding classical simulatability of Clifford+T circuits and explores the interplay between quantum entanglement and quantum magic in quantum systems.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (47)

  1. R. P. Feynman, Simulating physics with computers, in Feynman and Computation (CRC Press, Boca Raton, FL, 2018), pp. 133–153.
  2. A. Bouland, B. Fefferman, C. Nirkhe, and U. Vazirani, On the complexity and verification of quantum random circuit sampling, Nat. Phys. 15, 159 (2019).
  3. D. Hangleiter and J. Eisert, Computational advantage of quantum random sampling, Rev. Mod. Phys. 95, 035001 (2023).
  4. R. Jozsa and A. Miyake, Matchgates and classical simulation of quantum circuits, Proc. R. Soc. A 464, 3089 (2008).
  5. S. Aaronson and D. Gottesman, Improved simulation of stabilizer circuits, Phys. Rev. A 70, 052328 (2004).
  6. D. Gottesman, The Heisenberg representation of quantum computers, in Group22: Proceedings of the XXII International Colloquium on Group Theoretical Methods in Physics, edited by S. P. Corney, R. Delbourgo, and P. D. Jarvis (International Press, Cambridge, MA, 1999), pp. 32–43.
  7. J. C. Napp, R. L. La Placa, A. M. Dalzell, F. G. S. L. Brandão, and A. W. Harrow, Efficient classical simulation of random shallow 2D quantum circuits, Phys. Rev. X 12, 021021 (2022).
  8. G. Vidal, Efficient classical simulation of slightly entangled quantum computations, Phys. Rev. Lett. 91, 147902 (2003).
  9. G. Vidal, Efficient simulation of one-dimensional quantum many-body systems, Phys. Rev. Lett. 93, 040502 (2004).
  10. F. Pan, K. Chen, and P. Zhang, Solving the sampling problem of the Sycamore quantum circuits, Phys. Rev. Lett. 129, 090502 (2022).
  11. F. Pan and P. Zhang, Simulation of quantum circuits using the big-batch tensor network method, Phys. Rev. Lett. 128, 030501 (2022).
  12. B. Villalonga, M. Y. Niu, L. Li, H. Neven, J. C. Platt, V. N. Smelyanskiy, and S. Boixo, Efficient approximation of experimental Gaussian boson sampling, arXiv:2109.11525.
  13. T. Begušić, J. Gray, and G. K.-L. Chan, Fast and converged classical simulations of evidence for the utility of quantum computing before fault tolerance, Sci. Adv. 10, eadk4321 (2024).
  14. J. Tindall, M. Fishman, E. M. Stoudenmire, and D. Sels, Efficient tensor network simulation of IBM's Eagle kicked Ising experiment, PRX Quantum 5, 010308 (2024).
  15. R. Orús, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349, 117 (2014).
  16. M. Van den Nest, Simulating quantum computers with probabilistic methods, Quant. Inf. Comp. 11, 784 (2011).
  17. G. Nebe, E. M. Rains, and N. J. Sloane, The invariants of the Clifford groups, Des. Codes Cryptogr. 24, 99 (2001).
  18. E. T. Campbell, H. Anwar, and D. E. Browne, Magic-state distillation in all prime dimensions using quantum Reed-Muller codes, Phys. Rev. X 2, 041021 (2012).
  19. S. Bravyi and A. Kitaev, Universal quantum computation with ideal Clifford gates and noisy ancillas, Phys. Rev. A 71, 022316 (2005).
  20. S. Bravyi, D. Browne, P. Calpin, E. Campbell, D. Gosset, and M. Howard, Simulation of quantum circuits by low-rank stabilizer decompositions, Quantum 3, 181 (2019).
  21. A. Kissinger and J. van de Wetering, Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions, Quantum Sci. Technol. 7, 044001 (2022).
  22. T. Begušić, K. Hejazi, and G. K.-L. Chan, Simulating quantum circuit expectation values by Clifford perturbation theory, J. Chem. Phys. 162, 154110 (2025).
  23. H. Pashayan, O. Reardon-Smith, K. Korzekwa, and S. D. Bartlett, Fast estimation of outcome probabilities for quantum circuits, PRX Quantum 3, 020361 (2022).
  24. G. Lami, T. Haug, and J. D. Nardis, Quantum state designs with Clifford enhanced matrix product states, PRX Quantum 6, 010345 (2025).
  25. X. Qian, J. Huang, and M. Qin, Augmenting density matrix renormalization group with Clifford circuits, Phys. Rev. Lett. 133, 190402 (2024).
  26. A. F. Mello, A. Santini, G. Lami, J. D. Nardis, and M. Collura, Clifford dressed time-dependent variational principle, Phys. Rev. Lett. 134, 150403 (2025).
  27. X. Qian, J. Huang, and M. Qin, Clifford circuits augmented time-dependent variational principle, Phys. Rev. Lett. 134, 150404 (2025).
  28. J. Huang, X. Qian, and M. Qin, Non-stabilizerness entanglement entropy: A measure of hardness in the classical simulation of quantum many-body systems, Phys. Rev. A 112, 012425 (2025).
  29. G. E. Fux, B. Béri, R. Fazio, and E. Tirrito, Disentangling unitary dynamics with classically simulable quantum circuits, Phys. Rev. Lett. 135, 260605 (2025).
  30. In cases where the unentangled qubits are at states such as |±〉 instead of |0〉, it is always possible to change them back to |0〉 using single-qubit Clifford gates from {H,S,X}.
  31. A. Paviglianiti, G. Lami, M. Collura, and A. Silva, Estimating non-stabilizerness dynamics without simulating it, PRX Quantum 6, 030320 (2025).
  32. V. F. Kolchin, Random Graphs (Cambridge University Press, Cambridge, 2010).
  33. C. Gidney, Stim: A fast stabilizer circuit simulator, Quantum 5, 497 (2021).
  34. Y. Zhou, E. M. Stoudenmire, and X. Waintal, What limits the simulation of quantum computers? Phys. Rev. X 10, 041038 (2020).
  35. T. Ayral, T. Louvet, Y. Zhou, C. Lambert, E. M. Stoudenmire, and X. Waintal, Density-matrix renormalization group algorithm for simulating quantum circuits with a finite fidelity, PRX Quantum 4, 020304 (2023).
  36. A. F. Mello, A. Santini, and M. Collura, Clifford-dressed variational principles for precise Loschmidt echoes, Phys. Rev. A 111, 052401 (2025).
  37. D. M. Ceperley and B. J. Alder, Ground state of the electron gas by a stochastic method, Phys. Rev. Lett. 45, 566 (1980).
  38. R. M. Martin, L. Reining, and D. M. Ceperley, Interacting Electrons: Theory and Computational Approaches (Cambridge University Press, Cambridge, 2016).
  39. H.-Y. Huang, J. Preskill, and M. Soleimanifar, Certifying almost all quantum states with few single-qubit measurements, Nat. Phys. 21, 1834 (2025).
  40. D. Fattal, T. S. Cubitt, Y. Yamamoto, S. Bravyi, and I. L. Chuang, Entanglement in the stabilizer formalism, arXiv:quant-ph/0406168.
  41. M. Viscardi, M. Dalmonte, A. Hamma, and E. Tirrito, Interplay of entanglement structures and stabilizer entropy in spin models, SciPost Phys. Core 9, 012 (2026).
  42. A. Gu, S. F. E. Oliviero, and L. Leone, Magic-induced computational separation in entanglement theory, arXiv:2403.19610.
  43. M. Bejan, C. McLauchlan, and B. Béri, Dynamical magic transitions in monitored Clifford+T circuits, PRX Quantum 5, 030332 (2024).
  44. Y. Zhang and Y. Zhang, Classical simulability of quantum circuits with shallow magic depth, PRX Quantum 6, 010337 (2025).
  45. F. Wei and Z.-W. Liu, Long-range nonstabilizerness from quantum codes, orders, and correlations, arXiv:2503.04566.
  46. A. C. Nakhl, B. Harper, M. West, N. Dowling, M. Sevior, T. Quella, and M. Usman, Stabilizer tensor networks with magic state injection, Phys. Rev. Lett. 134, 190602 (2025).
  47. G. Lami and M. Collura, Unveiling the stabilizer group of a matrix product state, Phys. Rev. Lett. 133, 010602 (2024).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation