Gibbs state preparation for commuting Hamiltonian: Mapping to classical Gibbs sampling

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AbstractGibbs state preparation, or Gibbs sampling, is a key computational technique extensively used in physics, statistics, and other scientific fields. Recent efforts for designing fast mixing Gibbs samplers for quantum Hamiltonians have largely focused on commuting local Hamiltonians (CLHs), a non-trivial subclass of Hamiltonians which include highly entangled systems such as the Toric code and quantum double model. Most previous Gibbs samplers relied on simulating the Davies generator, which is a Lindbladian associated with the thermalization process in nature. Instead of using the Davies generator, we design a different Gibbs sampler for various CLHs by giving a reduction to classical Hamiltonians, in the sense that one can efficiently prepare the Gibbs state for some CLH $H$ on a quantum computer as long as one can efficiently do classical Gibbs sampling for the corresponding classical Hamiltonian $H^{(c)}$. We demonstrate that our Gibbs sampler is able to replicate state-of-the-art results as well as prepare the Gibbs state in regimes which were previously unknown, such as the low temperature region, as long as there exists fast mixing Gibbs samplers for the corresponding classical Hamiltonians. Our reductions are as follows. – If $H$ is a 2-local qudit CLH, then $H^{(c)}$ is a 2-local qudit classical Hamiltonian. – If $H$ is a 4-local qubit CLH on 2D lattice and there are no classical qubits, then $H^{(c)}$ is a 2-local qudit classical Hamiltonian on a planar graph. As an example, our algorithm can prepare the Gibbs state for the (defected) Toric code at any non-zero temperature in $O(n^2 poly(log n))$ time. – If $H$ is a 4-local qubit CLH on 2D lattice and there are classical qubits, assuming that quantum terms are uniformly correctable, then $H^{(c)}$ is a constant-local classical Hamiltonian.► BibTeX data@article{Hwang2026gibbsstate, doi = {10.22331/q-2026-09-18-2209}, url = {https://doi.org/10.22331/q-2026-09-18-2209}, title = {Gibbs state preparation for commuting {H}amiltonian: {M}apping to classical {G}ibbs sampling}, author = {Hwang, Yeongwoo and Jiang, Jiaqing}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2209}, month = sep, year = {2026} }► References [1] Ángela Capel, Cambyse Rouzé, and Daniel Stilck França. ``The modified logarithmic sobolev inequality for quantum spin systems: classical and commuting nearest neighbour interactions'' (2020). arXiv:2009.11817. arXiv:2009.11817 [2] Ivan Bardet, Ángela Capel, Li Gao, Angelo Lucia, David Pérez-García, and Cambyse Rouzé. ``Rapid thermalization of spin chain commuting hamiltonians''.
Physical Review Letters 130, 060401 (2023). doi: 10.1103/PhysRevLett.130.060401. https://doi.org/10.1103/PhysRevLett.130.060401 [3] Michael J Kastoryano and Fernando GSL Brandao. ``Quantum gibbs samplers: The commuting case''. Communications in Mathematical Physics 344, 915–957 (2016). doi: 10.1007/s00220-016-2641-8. https://doi.org/10.1007/s00220-016-2641-8 [4] Larry Stockmeyer. ``The complexity of approximate counting''. In Proceedings of the fifteenth annual ACM symposium on Theory of computing. Pages 118–126. (1983). doi: 10.1145/800061.808740. https://doi.org/10.1145/800061.808740 [5] Dorit Aharonov, Oded Kenneth, and Itamar Vigdorovich. ``On the complexity of two dimensional commuting local hamiltonians''. In 13th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2018). doi: 10.4230/LIPIcs.TQC.2018.2. https://doi.org/10.4230/LIPIcs.TQC.2018.2 [6] Matthew B Hastings. ``Topological order at nonzero temperature''. Physical review letters 107, 210501 (2011). doi: 10.1103/PhysRevLett.107.210501. https://doi.org/10.1103/PhysRevLett.107.210501 [7] Olivier Landon-Cardinal and David Poulin. ``Local topological order inhibits thermal stability in 2d''. Physical review letters 110, 090502 (2013). doi: 10.1103/PhysRevLett.110.090502. https://doi.org/10.1103/PhysRevLett.110.090502 [8] Arnau Riera, Christian Gogolin, and Jens Eisert. ``Thermalization in nature and on a quantum computer''. Physical review letters 108, 080402 (2012). doi: 10.1103/PhysRevLett.108.080402. https://doi.org/10.1103/PhysRevLett.108.080402 [9] Markus P Müller, Emily Adlam, Lluís Masanes, and Nathan Wiebe. ``Thermalization and canonical typicality in translation-invariant quantum lattice systems''. Communications in Mathematical Physics 340, 499–561 (2015). doi: 10.1007/s00220-015-2473-y. https://doi.org/10.1007/s00220-015-2473-y [10] Fernando GSL Brandão, Amir Kalev, Tongyang Li, Cedric Yen-Yu Lin, Krysta M Svore, and Xiaodi Wu. ``Quantum sdp solvers: Large speed-ups, optimality, and applications to quantum learning''. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Schloss-Dagstuhl-Leibniz Zentrum für Informatik (2019). doi: 10.4230/LIPIcs.ICALP.2019.27. arXiv:1710.02581. https://doi.org/10.4230/LIPIcs.ICALP.2019.27 arXiv:1710.02581 [11] Joran Van Apeldoorn, András Gilyén, Sander Gribling, and Ronald de Wolf. ``Quantum sdp-solvers: Better upper and lower bounds''. Quantum 4, 230 (2020). doi: 10.22331/q-2020-02-14-230. arXiv:1708.09203. https://doi.org/10.22331/q-2020-02-14-230 arXiv:1708.09203 [12] Mohammad H Amin, Evgeny Andriyash, Jason Rolfe, Bohdan Kulchytskyy, and Roger Melko. ``Quantum boltzmann machine''. Physical Review X 8, 021050 (2018). doi: 10.1103/PhysRevX.8.021050. https://doi.org/10.1103/PhysRevX.8.021050 [13] Geoffrey E Hinton and Terrence J Sejnowski. ``Optimal perceptual inference''. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. Volume 448, pages 448–453. Citeseer (1983). [14] Chi-Fang Chen, MJ Kastoryano, FGSL Brandao, and A Gilyén. ``Quantum thermal state preparation'' (2023). arXiv:2303.18224. arXiv:2303.18224 [15] András Gilyén, Chi-Fang Chen, Joao F Doriguello, and Michael J Kastoryano. ``Quantum generalizations of glauber and metropolis dynamics'' (2024). arXiv:2405.20322. arXiv:2405.20322 [16] Patrick Rall, Chunhao Wang, and Pawel Wocjan. ``Thermal state preparation via rounding promises''. Quantum 7, 1132 (2023). doi: 10.22331/q-2023-10-10-1132. https://doi.org/10.22331/q-2023-10-10-1132 [17] Zhiyan Ding, Bowen Li, and Lin Lin. ``Efficient quantum gibbs samplers with kubo–martin–schwinger detailed balance condition''. Communications in Mathematical Physics 406, 67 (2025). doi: 10.1007/s00220-025-05235-3. arXiv:2404.05998. https://doi.org/10.1007/s00220-025-05235-3 arXiv:2404.05998 [18] Jiaqing Jiang and Sandy Irani. ``Quantum metropolis sampling via weak measurement'' (2024). arXiv:2406.16023. arXiv:2406.16023 [19] Kristan Temme, Tobias J Osborne, Karl G Vollbrecht, David Poulin, and Frank Verstraete. ``Quantum metropolis sampling''. Nature 471, 87–90 (2011). doi: 10.1038/nature09770. https://doi.org/10.1038/nature09770 [20] David Poulin and Pawel Wocjan. ``Sampling from the thermal quantum gibbs state and evaluating partition functions with a quantum computer''. Physical review letters 103, 220502 (2009). doi: 10.1103/PhysRevLett.103.220502. https://doi.org/10.1103/PhysRevLett.103.220502 [21] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. ``Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics''. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Pages 193–204. (2019). doi: 10.1145/3313276.3316366. https://doi.org/10.1145/3313276.3316366 [22] Alice Guionnet and Bogusław Zegarlinksi. ``Lectures on logarithmic sobolev inequalities''. In Seminaire de probabilites XXXVI. Volume 1801 of Lecture Notes in Mathematics, pages 1–134. Springer (2003). doi: 10.1007/978-3-540-36107-7_1. https://doi.org/10.1007/978-3-540-36107-7_1 [23] Richard Holley. ``Rapid convergence to equilibrium in one dimensional stochastic ising models''. The Annals of ProbabilityPages 72–89 (1985). doi: 10.1214/aop/1176993067. https://doi.org/10.1214/aop/1176993067 [24] Richard A Holley and Daniel W Stroock. ``Uniform and $l_2$ convergence in one dimensional stochastic ising models''. Communications in mathematical physics 123, 85–93 (1989). doi: 10.1007/BF01244018. https://doi.org/10.1007/BF01244018 [25] Fabio Martinelli and Enzo Olivieri. ``Approach to equilibrium of glauber dynamics in the one phase region: Ii. the general case''. Communications in Mathematical Physics 161, 487–514 (1994). doi: 10.1007/BF02101930. https://doi.org/10.1007/BF02101930 [26] JT Chayes, L Chayes, and Roberto Henrique Schonmann. ``Exponential decay of connectivities in the two-dimensional ising model''. Journal of Statistical Physics 49, 433–445 (1987). doi: 10.1007/BF01009344. https://doi.org/10.1007/BF01009344 [27] Filippo Cesi, G Guadagni, F Martinelli, and RH Schonmann. ``On the two-dimensional stochastic ising model in the phase coexistence region near the critical point''. Journal of statistical physics 85, 55–102 (1996). doi: 10.1007/BF02175556. https://doi.org/10.1007/BF02175556 [28] Roberto H Schonmann. ``Second order large deviation estimates for ferromagnetic systems in the phase coexistence region''. Communications in mathematical physics 112, 409–422 (1987). doi: 10.1007/BF01218484. https://doi.org/10.1007/BF01218484 [29] Robert H Swendsen and Jian-Sheng Wang. ``Nonuniversal critical dynamics in monte carlo simulations''. Physical review letters 58, 86 (1987). doi: 10.1103/PhysRevLett.58.86. https://doi.org/10.1103/PhysRevLett.58.86 [30] Weiming Feng, Heng Guo, and Jiaheng Wang. ``Swendsen-wang dynamics for the ferromagnetic ising model with external fields''. Information and Computation 294, 105066 (2023). doi: 10.1016/j.ic.2023.105066. arXiv:2205.01985. https://doi.org/10.1016/j.ic.2023.105066 arXiv:2205.01985 [31] Christian Borgs, Jennifer Chayes, Tyler Helmuth, Will Perkins, and Prasad Tetali. ``Efficient sampling and counting algorithms for the potts model on $z^d$ at all temperatures''. In Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing. Pages 738–751. (2020). doi: 10.1145/3357713.3384271. arXiv:1909.09298. https://doi.org/10.1145/3357713.3384271 arXiv:1909.09298 [32] A Yu Kitaev. ``Fault-tolerant quantum computation by anyons''. Annals of physics 303, 2–30 (2003). doi: 10.1016/S0003-4916(02)00018-0. https://doi.org/10.1016/S0003-4916(02)00018-0 [33] Thiago Bergamaschi, Chi-Fang Chen, and Yunchao Liu. ``Quantum computational advantage with constant-temperature gibbs sampling'' (2024). doi: 10.1109/FOCS61266.2024.00071. arXiv:2404.14639. https://doi.org/10.1109/FOCS61266.2024.00071 arXiv:2404.14639 [34] Joel Rajakumar and James D Watson. ``Gibbs sampling gives quantum advantage at constant temperatures with $ o (1) $-local hamiltonians''. Quantum 10, 1981 (2026). doi: 10.22331/q-2026-01-22-1981. arXiv:2408.01516. https://doi.org/10.22331/q-2026-01-22-1981 arXiv:2408.01516 [35] Edward Brian Davies. ``Quantum theory of open systems''.
Academic Press London. (1976). [36] E Brian Davies. ``Generators of dynamical semigroups''. Journal of Functional Analysis 34, 421–432 (1979). doi: 10.1016/0022-1236(79)90085-5. https://doi.org/10.1016/0022-1236(79)90085-5 [37] Robert Alicki, Mark Fannes, and Michal Horodecki. ``On thermalization in kitaev's 2d model''. Journal of Physics A: Mathematical and Theoretical 42, 065303 (2009). doi: 10.1088/1751-8113/42/6/065303. https://doi.org/10.1088/1751-8113/42/6/065303 [38] Zhiyan Ding, Zeph Landau, Bowen Li, Lin Lin, and Ruizhe Zhang. ``Polynomial-time preparation of low-temperature gibbs states for 2d toric code'' (2024). doi: 10.1063/5.0302877. arXiv:2410.01206. https://doi.org/10.1063/5.0302877 arXiv:2410.01206 [39] Sergey Bravyi and Mikhail Vyalyi. ``Commutative version of the k-local hamiltonian problem and common eigenspace problem'' (2003). doi: 10.26421/QIC5.3-2. arXiv:quant-ph/0308021. https://doi.org/10.26421/QIC5.3-2 arXiv:quant-ph/0308021 [40] Sandy Irani and Jiaqing Jiang. ``Commuting local hamiltonian problem on 2d beyond qubits'' (2023). doi: 10.1007/s00220-025-05462-8. arXiv:2309.04910. https://doi.org/10.1007/s00220-025-05462-8 arXiv:2309.04910 [41] Norbert Schuch. ``Complexity of commuting hamiltonians on a square lattice of qubits'' (2011). doi: 10.26421/QIC11.11-12-1. arXiv:1105.2843. https://doi.org/10.26421/QIC11.11-12-1 arXiv:1105.2843 [42] Sergey Bravyi, Anirban Chowdhury, David Gosset, and Pawel Wocjan. ``On the complexity of quantum partition functions''. Nature Physics 18, 1367–1370 (2022). doi: 10.1038/s41567-022-01742-5. arXiv:2110.15466. https://doi.org/10.1038/s41567-022-01742-5 arXiv:2110.15466 [43] Jan Kochanowski, Alvaro M Alhambra, Angela Capel, and Cambyse Rouzé. ``Rapid thermalization of dissipative many-body dynamics of commuting hamiltonians''. Communications in Mathematical Physics 406, 176 (2025). doi: 10.1007/s00220-025-05353-y. arXiv:2404.16780. https://doi.org/10.1007/s00220-025-05353-y arXiv:2404.16780 [44] Nicholas Metropolis, Arianna W Rosenbluth, Marshall N Rosenbluth, Augusta H Teller, and Edward Teller. ``Equation of state calculations by fast computing machines''. The journal of chemical physics 21, 1087–1092 (1953). doi: 10.1063/1.1699114. https://doi.org/10.1063/1.1699114 [45] Richard Cleve and Chunhao Wang. ``Efficient quantum algorithms for simulating lindblad evolution'' (2016). doi: 10.4230/LIPIcs.ICALP.2017.17. arXiv:1612.09512. https://doi.org/10.4230/LIPIcs.ICALP.2017.17 arXiv:1612.09512 [46] Bogusław Zegarlinski. ``Log-sobolev inequalities for infinite one-dimensional lattice systems''. Commun. Math. Phys 133, 147–162 (1990). doi: 10.1007/BF02096558. https://doi.org/10.1007/BF02096558 [47] Mario Ullrich. ``Rapid mixing of swendsen-wang dynamics in two dimensions''. Dissertationes Mathematicae 502, 1–64 (2014). arXiv:1212.4908. https://doi.org/10.4064/dm502-0-1 arXiv:1212.4908 [48] Reza Gheissari and Eyal Lubetzky. ``Mixing times of critical 2d potts models'' (2016). doi: 10.1002/cpa.21718. arXiv:1607.02182. https://doi.org/10.1002/cpa.21718 arXiv:1607.02182 [49] Ainesh Bakshi, Allen Liu, Ankur Moitra, and Ewin Tang. ``High-temperature gibbs states are unentangled and efficiently preparable'' (2024). doi: 10.1109/FOCS61266.2024.00068. arXiv:2403.16850. https://doi.org/10.1109/FOCS61266.2024.00068 arXiv:2403.16850 [50] Martin Dyer, Alistair Sinclair, Eric Vigoda, and Dror Weitz. ``Mixing in time and space for lattice spin systems: A combinatorial view''. Random Structures & Algorithms 24, 461–479 (2004). doi: 10.1002/rsa.20015. https://doi.org/10.1002/rsa.20015 [51] Filippo Cesi. ``Quasi-factorization of the entropy and logarithmic sobolev inequalities for gibbs random fields''. Probability Theory and Related Fields 120, 569–584 (2001). doi: 10.1007/PL00008792. https://doi.org/10.1007/PL00008792 [52] Daniel W Stroock and Boguslaw Zegarlinski. ``The equivalence of the logarithmic sobolev inequality and the dobrushin-shlosman mixing condition''. Communications in mathematical physics 144, 303–323 (1992). doi: 10.1007/BF02101094. https://doi.org/10.1007/BF02101094 [53] Daniel W Stroock and Boguslaw Zegarlinski. ``The logarithmic sobolev inequality for discrete spin systems on a lattice''. Communications in Mathematical Physics 149, 175–193 (1992). doi: 10.1007/BF02096629. https://doi.org/10.1007/BF02096629 [54] David Gamarnik, Bobak T Kiani, and Alexander Zlokapa. ``Slow mixing of quantum gibbs samplers'' (2024). arXiv:2411.04300. arXiv:2411.04300 [55] Christian Borgs, Jennifer T Chayes, Alan Frieze, Jeong Han Kim, Prasad Tetali, Eric Vigoda, et al. ``Torpid mixing of some monte carlo markov chain algorithms in statistical physics''. In 40th Annual Symposium on Foundations of Computer Science (Cat. No. 99CB37039). Pages 218–229. IEEE (1999). doi: 10.1109/SFFCS.1999.814594. https://doi.org/10.1109/SFFCS.1999.814594 [56] Andi Gu, Salvatore FE Oliviero, and Lorenzo Leone. ``Doped stabilizer states in many-body physics and where to find them''. Physical Review A 110, 062427 (2024). doi: 10.1103/PhysRevA.110.062427. arXiv:2403.14912. https://doi.org/10.1103/PhysRevA.110.062427 arXiv:2403.14912 [57] Sevag Gharibian, Yichen Huang, Zeph Landau, Seung Woo Shin, et al. ``Quantum hamiltonian complexity''. Foundations and Trends in Theoretical Computer Science 10, 159–282 (2015). doi: 10.1561/0400000066. https://doi.org/10.1561/0400000066 [58] Dorit Aharonov and Lior Eldar. ``The commuting local hamiltonian on locally-expanding graphs is in np'' (2013). doi: 10.1007/s11128-014-0877-9. arXiv:1311.7378. https://doi.org/10.1007/s11128-014-0877-9 arXiv:1311.7378 [59] Dorit Aharonov and Lior Eldar. ``On the complexity of commuting local hamiltonians, and tight conditions for topological order in such systems''. In 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science. Pages 334–343. IEEE (2011). doi: 10.1109/FOCS.2011.58. arXiv:1102.0770. https://doi.org/10.1109/FOCS.2011.58 arXiv:1102.0770Cited byCould not fetch Crossref cited-by data during last attempt 2026-09-18 09:51:03: Could not fetch cited-by data for 10.22331/q-2026-09-18-2209 from Crossref. This is normal if the DOI was registered recently. Could not fetch ADS cited-by data during last attempt 2026-09-18 09:51:04: Cannot retrieve data from ADS due to rate limitations.This Paper is published in Quantum under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Copyright remains with the original copyright holders such as the authors or their institutions. AbstractGibbs state preparation, or Gibbs sampling, is a key computational technique extensively used in physics, statistics, and other scientific fields. Recent efforts for designing fast mixing Gibbs samplers for quantum Hamiltonians have largely focused on commuting local Hamiltonians (CLHs), a non-trivial subclass of Hamiltonians which include highly entangled systems such as the Toric code and quantum double model. Most previous Gibbs samplers relied on simulating the Davies generator, which is a Lindbladian associated with the thermalization process in nature. Instead of using the Davies generator, we design a different Gibbs sampler for various CLHs by giving a reduction to classical Hamiltonians, in the sense that one can efficiently prepare the Gibbs state for some CLH $H$ on a quantum computer as long as one can efficiently do classical Gibbs sampling for the corresponding classical Hamiltonian $H^{(c)}$. We demonstrate that our Gibbs sampler is able to replicate state-of-the-art results as well as prepare the Gibbs state in regimes which were previously unknown, such as the low temperature region, as long as there exists fast mixing Gibbs samplers for the corresponding classical Hamiltonians. Our reductions are as follows. – If $H$ is a 2-local qudit CLH, then $H^{(c)}$ is a 2-local qudit classical Hamiltonian. – If $H$ is a 4-local qubit CLH on 2D lattice and there are no classical qubits, then $H^{(c)}$ is a 2-local qudit classical Hamiltonian on a planar graph. As an example, our algorithm can prepare the Gibbs state for the (defected) Toric code at any non-zero temperature in $O(n^2 poly(log n))$ time. – If $H$ is a 4-local qubit CLH on 2D lattice and there are classical qubits, assuming that quantum terms are uniformly correctable, then $H^{(c)}$ is a constant-local classical Hamiltonian.► BibTeX data@article{Hwang2026gibbsstate, doi = {10.22331/q-2026-09-18-2209}, url = {https://doi.org/10.22331/q-2026-09-18-2209}, title = {Gibbs state preparation for commuting {H}amiltonian: {M}apping to classical {G}ibbs sampling}, author = {Hwang, Yeongwoo and Jiang, Jiaqing}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2209}, month = sep, year = {2026} }► References [1] Ángela Capel, Cambyse Rouzé, and Daniel Stilck França. ``The modified logarithmic sobolev inequality for quantum spin systems: classical and commuting nearest neighbour interactions'' (2020). arXiv:2009.11817. arXiv:2009.11817 [2] Ivan Bardet, Ángela Capel, Li Gao, Angelo Lucia, David Pérez-García, and Cambyse Rouzé. ``Rapid thermalization of spin chain commuting hamiltonians''.
Physical Review Letters 130, 060401 (2023). doi: 10.1103/PhysRevLett.130.060401. https://doi.org/10.1103/PhysRevLett.130.060401 [3] Michael J Kastoryano and Fernando GSL Brandao. ``Quantum gibbs samplers: The commuting case''. Communications in Mathematical Physics 344, 915–957 (2016). doi: 10.1007/s00220-016-2641-8. https://doi.org/10.1007/s00220-016-2641-8 [4] Larry Stockmeyer. ``The complexity of approximate counting''. In Proceedings of the fifteenth annual ACM symposium on Theory of computing. Pages 118–126. (1983). doi: 10.1145/800061.808740. https://doi.org/10.1145/800061.808740 [5] Dorit Aharonov, Oded Kenneth, and Itamar Vigdorovich. ``On the complexity of two dimensional commuting local hamiltonians''. In 13th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2018). doi: 10.4230/LIPIcs.TQC.2018.2. https://doi.org/10.4230/LIPIcs.TQC.2018.2 [6] Matthew B Hastings. ``Topological order at nonzero temperature''. Physical review letters 107, 210501 (2011). doi: 10.1103/PhysRevLett.107.210501. https://doi.org/10.1103/PhysRevLett.107.210501 [7] Olivier Landon-Cardinal and David Poulin. ``Local topological order inhibits thermal stability in 2d''. Physical review letters 110, 090502 (2013). doi: 10.1103/PhysRevLett.110.090502. https://doi.org/10.1103/PhysRevLett.110.090502 [8] Arnau Riera, Christian Gogolin, and Jens Eisert. ``Thermalization in nature and on a quantum computer''. Physical review letters 108, 080402 (2012). doi: 10.1103/PhysRevLett.108.080402. https://doi.org/10.1103/PhysRevLett.108.080402 [9] Markus P Müller, Emily Adlam, Lluís Masanes, and Nathan Wiebe. ``Thermalization and canonical typicality in translation-invariant quantum lattice systems''. Communications in Mathematical Physics 340, 499–561 (2015). doi: 10.1007/s00220-015-2473-y. https://doi.org/10.1007/s00220-015-2473-y [10] Fernando GSL Brandão, Amir Kalev, Tongyang Li, Cedric Yen-Yu Lin, Krysta M Svore, and Xiaodi Wu. ``Quantum sdp solvers: Large speed-ups, optimality, and applications to quantum learning''. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Schloss-Dagstuhl-Leibniz Zentrum für Informatik (2019). doi: 10.4230/LIPIcs.ICALP.2019.27. arXiv:1710.02581. https://doi.org/10.4230/LIPIcs.ICALP.2019.27 arXiv:1710.02581 [11] Joran Van Apeldoorn, András Gilyén, Sander Gribling, and Ronald de Wolf. ``Quantum sdp-solvers: Better upper and lower bounds''. Quantum 4, 230 (2020). doi: 10.22331/q-2020-02-14-230. arXiv:1708.09203. https://doi.org/10.22331/q-2020-02-14-230 arXiv:1708.09203 [12] Mohammad H Amin, Evgeny Andriyash, Jason Rolfe, Bohdan Kulchytskyy, and Roger Melko. ``Quantum boltzmann machine''. Physical Review X 8, 021050 (2018). doi: 10.1103/PhysRevX.8.021050. https://doi.org/10.1103/PhysRevX.8.021050 [13] Geoffrey E Hinton and Terrence J Sejnowski. ``Optimal perceptual inference''. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. Volume 448, pages 448–453. Citeseer (1983). [14] Chi-Fang Chen, MJ Kastoryano, FGSL Brandao, and A Gilyén. ``Quantum thermal state preparation'' (2023). arXiv:2303.18224. arXiv:2303.18224 [15] András Gilyén, Chi-Fang Chen, Joao F Doriguello, and Michael J Kastoryano. ``Quantum generalizations of glauber and metropolis dynamics'' (2024). arXiv:2405.20322. arXiv:2405.20322 [16] Patrick Rall, Chunhao Wang, and Pawel Wocjan. ``Thermal state preparation via rounding promises''. Quantum 7, 1132 (2023). doi: 10.22331/q-2023-10-10-1132. https://doi.org/10.22331/q-2023-10-10-1132 [17] Zhiyan Ding, Bowen Li, and Lin Lin. ``Efficient quantum gibbs samplers with kubo–martin–schwinger detailed balance condition''. Communications in Mathematical Physics 406, 67 (2025). doi: 10.1007/s00220-025-05235-3. arXiv:2404.05998. https://doi.org/10.1007/s00220-025-05235-3 arXiv:2404.05998 [18] Jiaqing Jiang and Sandy Irani. ``Quantum metropolis sampling via weak measurement'' (2024). arXiv:2406.16023. arXiv:2406.16023 [19] Kristan Temme, Tobias J Osborne, Karl G Vollbrecht, David Poulin, and Frank Verstraete. ``Quantum metropolis sampling''. Nature 471, 87–90 (2011). doi: 10.1038/nature09770. https://doi.org/10.1038/nature09770 [20] David Poulin and Pawel Wocjan. ``Sampling from the thermal quantum gibbs state and evaluating partition functions with a quantum computer''. Physical review letters 103, 220502 (2009). doi: 10.1103/PhysRevLett.103.220502. https://doi.org/10.1103/PhysRevLett.103.220502 [21] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. ``Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics''. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Pages 193–204. (2019). doi: 10.1145/3313276.3316366. https://doi.org/10.1145/3313276.3316366 [22] Alice Guionnet and Bogusław Zegarlinksi. ``Lectures on logarithmic sobolev inequalities''. In Seminaire de probabilites XXXVI. Volume 1801 of Lecture Notes in Mathematics, pages 1–134. Springer (2003). doi: 10.1007/978-3-540-36107-7_1. https://doi.org/10.1007/978-3-540-36107-7_1 [23] Richard Holley. ``Rapid convergence to equilibrium in one dimensional stochastic ising models''. The Annals of ProbabilityPages 72–89 (1985). doi: 10.1214/aop/1176993067. https://doi.org/10.1214/aop/1176993067 [24] Richard A Holley and Daniel W Stroock. ``Uniform and $l_2$ convergence in one dimensional stochastic ising models''. Communications in mathematical physics 123, 85–93 (1989). doi: 10.1007/BF01244018. https://doi.org/10.1007/BF01244018 [25] Fabio Martinelli and Enzo Olivieri. ``Approach to equilibrium of glauber dynamics in the one phase region: Ii. the general case''. Communications in Mathematical Physics 161, 487–514 (1994). doi: 10.1007/BF02101930. https://doi.org/10.1007/BF02101930 [26] JT Chayes, L Chayes, and Roberto Henrique Schonmann. ``Exponential decay of connectivities in the two-dimensional ising model''. Journal of Statistical Physics 49, 433–445 (1987). doi: 10.1007/BF01009344. https://doi.org/10.1007/BF01009344 [27] Filippo Cesi, G Guadagni, F Martinelli, and RH Schonmann. ``On the two-dimensional stochastic ising model in the phase coexistence region near the critical point''. Journal of statistical physics 85, 55–102 (1996). doi: 10.1007/BF02175556. https://doi.org/10.1007/BF02175556 [28] Roberto H Schonmann. ``Second order large deviation estimates for ferromagnetic systems in the phase coexistence region''. Communications in mathematical physics 112, 409–422 (1987). doi: 10.1007/BF01218484. https://doi.org/10.1007/BF01218484 [29] Robert H Swendsen and Jian-Sheng Wang. ``Nonuniversal critical dynamics in monte carlo simulations''. Physical review letters 58, 86 (1987). doi: 10.1103/PhysRevLett.58.86. https://doi.org/10.1103/PhysRevLett.58.86 [30] Weiming Feng, Heng Guo, and Jiaheng Wang. ``Swendsen-wang dynamics for the ferromagnetic ising model with external fields''. Information and Computation 294, 105066 (2023). doi: 10.1016/j.ic.2023.105066. arXiv:2205.01985. https://doi.org/10.1016/j.ic.2023.105066 arXiv:2205.01985 [31] Christian Borgs, Jennifer Chayes, Tyler Helmuth, Will Perkins, and Prasad Tetali. ``Efficient sampling and counting algorithms for the potts model on $z^d$ at all temperatures''. In Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing. Pages 738–751. (2020). doi: 10.1145/3357713.3384271. arXiv:1909.09298. https://doi.org/10.1145/3357713.3384271 arXiv:1909.09298 [32] A Yu Kitaev. ``Fault-tolerant quantum computation by anyons''. Annals of physics 303, 2–30 (2003). doi: 10.1016/S0003-4916(02)00018-0. https://doi.org/10.1016/S0003-4916(02)00018-0 [33] Thiago Bergamaschi, Chi-Fang Chen, and Yunchao Liu. ``Quantum computational advantage with constant-temperature gibbs sampling'' (2024). doi: 10.1109/FOCS61266.2024.00071. arXiv:2404.14639. https://doi.org/10.1109/FOCS61266.2024.00071 arXiv:2404.14639 [34] Joel Rajakumar and James D Watson. ``Gibbs sampling gives quantum advantage at constant temperatures with $ o (1) $-local hamiltonians''. Quantum 10, 1981 (2026). doi: 10.22331/q-2026-01-22-1981. arXiv:2408.01516. https://doi.org/10.22331/q-2026-01-22-1981 arXiv:2408.01516 [35] Edward Brian Davies. ``Quantum theory of open systems''.
Academic Press London. (1976). [36] E Brian Davies. ``Generators of dynamical semigroups''. Journal of Functional Analysis 34, 421–432 (1979). doi: 10.1016/0022-1236(79)90085-5. https://doi.org/10.1016/0022-1236(79)90085-5 [37] Robert Alicki, Mark Fannes, and Michal Horodecki. ``On thermalization in kitaev's 2d model''. Journal of Physics A: Mathematical and Theoretical 42, 065303 (2009). doi: 10.1088/1751-8113/42/6/065303. https://doi.org/10.1088/1751-8113/42/6/065303 [38] Zhiyan Ding, Zeph Landau, Bowen Li, Lin Lin, and Ruizhe Zhang. ``Polynomial-time preparation of low-temperature gibbs states for 2d toric code'' (2024). doi: 10.1063/5.0302877. arXiv:2410.01206. https://doi.org/10.1063/5.0302877 arXiv:2410.01206 [39] Sergey Bravyi and Mikhail Vyalyi. ``Commutative version of the k-local hamiltonian problem and common eigenspace problem'' (2003). doi: 10.26421/QIC5.3-2. arXiv:quant-ph/0308021. https://doi.org/10.26421/QIC5.3-2 arXiv:quant-ph/0308021 [40] Sandy Irani and Jiaqing Jiang. ``Commuting local hamiltonian problem on 2d beyond qubits'' (2023). doi: 10.1007/s00220-025-05462-8. arXiv:2309.04910. https://doi.org/10.1007/s00220-025-05462-8 arXiv:2309.04910 [41] Norbert Schuch. ``Complexity of commuting hamiltonians on a square lattice of qubits'' (2011). doi: 10.26421/QIC11.11-12-1. arXiv:1105.2843. https://doi.org/10.26421/QIC11.11-12-1 arXiv:1105.2843 [42] Sergey Bravyi, Anirban Chowdhury, David Gosset, and Pawel Wocjan. ``On the complexity of quantum partition functions''. Nature Physics 18, 1367–1370 (2022). doi: 10.1038/s41567-022-01742-5. arXiv:2110.15466. https://doi.org/10.1038/s41567-022-01742-5 arXiv:2110.15466 [43] Jan Kochanowski, Alvaro M Alhambra, Angela Capel, and Cambyse Rouzé. ``Rapid thermalization of dissipative many-body dynamics of commuting hamiltonians''. Communications in Mathematical Physics 406, 176 (2025). doi: 10.1007/s00220-025-05353-y. arXiv:2404.16780. https://doi.org/10.1007/s00220-025-05353-y arXiv:2404.16780 [44] Nicholas Metropolis, Arianna W Rosenbluth, Marshall N Rosenbluth, Augusta H Teller, and Edward Teller. ``Equation of state calculations by fast computing machines''. The journal of chemical physics 21, 1087–1092 (1953). doi: 10.1063/1.1699114. https://doi.org/10.1063/1.1699114 [45] Richard Cleve and Chunhao Wang. ``Efficient quantum algorithms for simulating lindblad evolution'' (2016). doi: 10.4230/LIPIcs.ICALP.2017.17. arXiv:1612.09512. https://doi.org/10.4230/LIPIcs.ICALP.2017.17 arXiv:1612.09512 [46] Bogusław Zegarlinski. ``Log-sobolev inequalities for infinite one-dimensional lattice systems''. Commun. Math. Phys 133, 147–162 (1990). doi: 10.1007/BF02096558. https://doi.org/10.1007/BF02096558 [47] Mario Ullrich. ``Rapid mixing of swendsen-wang dynamics in two dimensions''. Dissertationes Mathematicae 502, 1–64 (2014). arXiv:1212.4908. https://doi.org/10.4064/dm502-0-1 arXiv:1212.4908 [48] Reza Gheissari and Eyal Lubetzky. ``Mixing times of critical 2d potts models'' (2016). doi: 10.1002/cpa.21718. arXiv:1607.02182. https://doi.org/10.1002/cpa.21718 arXiv:1607.02182 [49] Ainesh Bakshi, Allen Liu, Ankur Moitra, and Ewin Tang. ``High-temperature gibbs states are unentangled and efficiently preparable'' (2024). doi: 10.1109/FOCS61266.2024.00068. arXiv:2403.16850. https://doi.org/10.1109/FOCS61266.2024.00068 arXiv:2403.16850 [50] Martin Dyer, Alistair Sinclair, Eric Vigoda, and Dror Weitz. ``Mixing in time and space for lattice spin systems: A combinatorial view''. Random Structures & Algorithms 24, 461–479 (2004). doi: 10.1002/rsa.20015. https://doi.org/10.1002/rsa.20015 [51] Filippo Cesi. ``Quasi-factorization of the entropy and logarithmic sobolev inequalities for gibbs random fields''. Probability Theory and Related Fields 120, 569–584 (2001). doi: 10.1007/PL00008792. https://doi.org/10.1007/PL00008792 [52] Daniel W Stroock and Boguslaw Zegarlinski. ``The equivalence of the logarithmic sobolev inequality and the dobrushin-shlosman mixing condition''. Communications in mathematical physics 144, 303–323 (1992). doi: 10.1007/BF02101094. https://doi.org/10.1007/BF02101094 [53] Daniel W Stroock and Boguslaw Zegarlinski. ``The logarithmic sobolev inequality for discrete spin systems on a lattice''. Communications in Mathematical Physics 149, 175–193 (1992). doi: 10.1007/BF02096629. https://doi.org/10.1007/BF02096629 [54] David Gamarnik, Bobak T Kiani, and Alexander Zlokapa. ``Slow mixing of quantum gibbs samplers'' (2024). arXiv:2411.04300. arXiv:2411.04300 [55] Christian Borgs, Jennifer T Chayes, Alan Frieze, Jeong Han Kim, Prasad Tetali, Eric Vigoda, et al. ``Torpid mixing of some monte carlo markov chain algorithms in statistical physics''. In 40th Annual Symposium on Foundations of Computer Science (Cat. No. 99CB37039). Pages 218–229. IEEE (1999). doi: 10.1109/SFFCS.1999.814594. https://doi.org/10.1109/SFFCS.1999.814594 [56] Andi Gu, Salvatore FE Oliviero, and Lorenzo Leone. ``Doped stabilizer states in many-body physics and where to find them''. Physical Review A 110, 062427 (2024). doi: 10.1103/PhysRevA.110.062427. arXiv:2403.14912. https://doi.org/10.1103/PhysRevA.110.062427 arXiv:2403.14912 [57] Sevag Gharibian, Yichen Huang, Zeph Landau, Seung Woo Shin, et al. ``Quantum hamiltonian complexity''. Foundations and Trends in Theoretical Computer Science 10, 159–282 (2015). doi: 10.1561/0400000066. https://doi.org/10.1561/0400000066 [58] Dorit Aharonov and Lior Eldar. ``The commuting local hamiltonian on locally-expanding graphs is in np'' (2013). doi: 10.1007/s11128-014-0877-9. arXiv:1311.7378. https://doi.org/10.1007/s11128-014-0877-9 arXiv:1311.7378 [59] Dorit Aharonov and Lior Eldar. ``On the complexity of commuting local hamiltonians, and tight conditions for topological order in such systems''. In 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science. Pages 334–343. IEEE (2011). doi: 10.1109/FOCS.2011.58. arXiv:1102.0770. https://doi.org/10.1109/FOCS.2011.58 arXiv:1102.0770Cited byCould not fetch Crossref cited-by data during last attempt 2026-09-18 09:51:03: Could not fetch cited-by data for 10.22331/q-2026-09-18-2209 from Crossref. This is normal if the DOI was registered recently. 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