Quantum simulation of dynamical phase transitions in noisy quantum devices
Pith reviewed 2026-05-24 10:10 UTC · model grok-4.3
The pith
Depolarizing noise doubles non-analytic points in the Loschmidt echo at dynamical phase transitions, creating an unmitigable error.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Matrix product density operator simulations of the transverse-field Ising model with depolarizing noise demonstrate that noise alters the Loschmidt echo at dynamical phase transition times by doubling the number of non-analytic points and thereby induces an error that inherently cannot be mitigated by zero-noise extrapolation. The same extrapolation recovers quantum revivals of the Loschmidt echo missed without mitigation and retrieves noise-free inter-site correlations, with results agreeing with those from quantum simulators.
What carries the argument
Matrix product density operators applied to the Loschmidt echo of the transverse-field Ising model under depolarizing noise.
If this is right
- Zero-noise extrapolation cannot correct the noise-induced doubling of non-analytic points in the Loschmidt echo.
- Zero-noise extrapolation recovers quantum revivals of the Loschmidt echo that are lost without mitigation.
- Zero-noise extrapolation retrieves accurate noise-free inter-site correlations.
- Matrix product density operators can be used to assess performance limits of large noisy quantum circuits.
Where Pith is reading between the lines
- Certain dynamical phase transition signatures may remain distorted on noisy devices even after standard mitigation is applied.
- The doubling effect may appear under other noise models beyond depolarizing noise.
- Matrix product density operators could serve as a low-cost proxy for testing mitigation strategies before running them on hardware.
Load-bearing premise
The matrix product density operator model with depolarizing noise accurately represents the actual dynamics on noisy quantum devices.
What would settle it
An experiment on a quantum device implementing the transverse-field Ising model that measures whether the Loschmidt echo exhibits exactly twice as many non-analytic points at the predicted transition times as the noise-free case would confirm or refute the unmitigable-error claim.
Figures
read the original abstract
Zero-noise extrapolation provides an especially useful error mitigation method for noisy intermediate-scale quantum devices. Our analysis, based on matrix product density operators, of the transverse-field Ising model with depolarizing noise, reveals both advantages and inherent problems associated with zero-noise extrapolation when simulating non-equilibrium many-body dynamics. On the one hand, interestingly, noise alters systematically the behavior of the Loschmidt echo at the dynamical phase transition times, doubling the number of non-analytic points, and hence inducing an error that, inherently, cannot be mitigated. On the other, zero-noise extrapolation may be employed to recover quantum revivals of the Loschmidt echo, which would be completely missed in the absence of mitigation, and to retrieve faithfully noise-free inter-site correlations. Our results, which are in good agreement with those obtained using quantum simulators, reveal the potential of matrix product density operators for the investigation of the performance of quantum devices with a large number of qubits and deep noisy quantum circuits.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript uses matrix product density operators to analyze the transverse-field Ising model under depolarizing noise. It claims that noise systematically modifies the Loschmidt echo at dynamical phase transition times by doubling the number of non-analytic points, producing an error that cannot be mitigated by zero-noise extrapolation. At the same time, zero-noise extrapolation recovers quantum revivals of the Loschmidt echo and faithful noise-free inter-site correlations. Results are reported to agree with quantum-simulator experiments and to illustrate both the utility and the intrinsic limitations of zero-noise extrapolation for non-equilibrium many-body dynamics on NISQ devices.
Significance. If the central claims hold, the work would identify a concrete class of observables and dynamical features for which zero-noise extrapolation is provably insufficient, while also showing that the same technique can still restore other quantities. The demonstration that matrix product density operators can be used to benchmark large-scale noisy circuits would further strengthen the case for tensor-network methods as diagnostic tools for NISQ performance.
major comments (1)
- The abstract asserts that depolarizing noise doubles the number of non-analytic points in the Loschmidt echo and that the resulting error is inherently unmitigable. Because the manuscript supplies neither the precise definition used to locate non-analytic points, the explicit MPDO construction, nor the quantitative comparison between noisy and extrapolated data, it is impossible to determine whether the doubling is a physical effect of the noise model or an artifact of the chosen representation.
minor comments (1)
- The abstract states that results are 'in good agreement' with quantum simulators but provides no quantitative metrics, system sizes, or circuit depths for the comparison.
Simulated Author's Rebuttal
We thank the referee for their careful reading of the manuscript. We respond to the single major comment below.
read point-by-point responses
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Referee: The abstract asserts that depolarizing noise doubles the number of non-analytic points in the Loschmidt echo and that the resulting error is inherently unmitigable. Because the manuscript supplies neither the precise definition used to locate non-analytic points, the explicit MPDO construction, nor the quantitative comparison between noisy and extrapolated data, it is impossible to determine whether the doubling is a physical effect of the noise model or an artifact of the chosen representation.
Authors: We agree that the abstract, as presented, does not supply the precise definition of non-analytic points, the explicit MPDO construction, or quantitative comparisons between noisy and extrapolated data. Consequently, from the abstract alone it is not possible to determine whether the reported doubling constitutes a physical effect of the depolarizing noise or an artifact of the representation. We will revise the abstract to include a concise statement defining non-analytic points as the times at which the Loschmidt echo exhibits non-differentiable behavior, thereby clarifying the basis of the claim. revision: yes
Circularity Check
No significant circularity detected
full rationale
Only the abstract is available, containing no equations, parameter fits, self-citations, or derivation steps. The described analysis of MPDO for noisy TFIM and Loschmidt echo behavior is presented as a direct computational result without any visible reduction of predictions to inputs by construction. No load-bearing steps matching the enumerated circularity patterns can be identified or quoted.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, 2010)
work page 2010
-
[2]
R. P. Feynman, Int J Theor Phys 21, 467 (1982)
work page 1982
-
[3]
D. A. Lidar. and T. A. Brun, Quantum Error Correction (Cambridge University Press, 2013)
work page 2013
- [4]
-
[5]
J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, and S. Lloyd, Nature 549, 195 (2017)
work page 2017
-
[6]
A. Kandala, A. Mezzacapo, K. Temme, M. Takita, M. Brink, J. M. Chow, and J. M. Gambetta, Nature 549, 242 (2017)
work page 2017
- [7]
-
[8]
C. D. Bruzewicz, J. Chiaverini, R. McConnell, and J. M. Sage, Applied Physics Reviews 6, 021314 (2019)
work page 2019
-
[9]
J. I. Cirac and P. Zoller, Phys. Rev. Lett.74, 4091 (1995)
work page 1995
- [10]
- [11]
- [12]
-
[13]
G. Burkard, T. D. Ladd, J. M. Nichol, A. Pan, and J. R. Petta, (2021), 10.48550/arXiv.2112.08863, com- ment: Rev. Mod. Phys. - Corrections and comments welcome, arXiv:2112.08863 [cond-mat, physics:physics, physics:quant-ph]
-
[14]
S. Slussarenko and G. J. Pryde, (2019), 10.1063/1.5115814, comment: 21 pages, 3 figures. A brief review on some topics in photonic quantum computing with lots of references to longer specialist reviews. Close to published version, arXiv:1907.06331 [quant-ph]
-
[15]
C. Weedbrook, S. Pirandola, R. Garc´ ıa-Patr´ on, N. J. Cerf, T. C. Ralph, J. H. Shapiro, and S. Lloyd, Rev. Mod. Phys. 84, 621 (2012)
work page 2012
- [16]
- [17]
-
[18]
S. Endo, S. C. Benjamin, and Y. Li, Phys. Rev. X 8, 031027 (2018)
work page 2018
- [19]
-
[20]
E. van den Berg, Z. K. Minev, A. Kandala, and K. Temme, (2022), 10.48550/arXiv.2201.09866, arXiv:2201.09866 [quant-ph]
-
[21]
A. Mari, N. Shammah, and W. J. Zeng, Phys. Rev. A 104, 052607 (2021)
work page 2021
-
[22]
A. Lowe, M. H. Gordon, P. Czarnik, A. Arrasmith, P. J. Coles, and L. Cincio, Phys. Rev. Research 3, 033098 (2021)
work page 2021
-
[23]
R. Takagi, S. Endo, S. Minagawa, and M. Gu, (2022), 10.48550/arXiv.2109.04457, arXiv:2109.04457 [quant-ph]
-
[24]
K. Tsubouchi, T. Sagawa, and N. Yoshioka, (2022), 10.48550/arXiv.2208.09385, arXiv:2208.09385 [quant- ph]
-
[25]
R. Takagi, H. Tajima, and M. Gu, (2022), 10.48550/arXiv.2208.09178, arXiv:2208.09178 [quant- ph]
-
[26]
F. Verstraete, J. J. Garc´ ıa-Ripoll, and J. I. Cirac, Phys. Rev. Lett. 93, 207204 (2004)
work page 2004
- [27]
- [28]
-
[29]
A. H. Werner, D. Jaschke, P. Silvi, M. Kliesch, T. Calarco, J. Eisert, and S. Montangero, Phys. Rev. Lett. 116, 237201 (2016)
work page 2016
-
[30]
Schollw¨ ock, Annals of Physics326, 96 (2011), january 2011 Special Issue
U. Schollw¨ ock, Annals of Physics326, 96 (2011), january 2011 Special Issue
work page 2011
-
[31]
M. Urbanek, B. Nachman, V. R. Pascuzzi, A. He, C. W. Bauer, and W. A. de Jong, Phys. Rev. Lett. 127, 270502 (2021)
work page 2021
- [32]
-
[33]
T. J. Osborne and M. A. Nielsen, Phys. Rev. A 66, 032110 (2002)
work page 2002
-
[34]
M. Heyl, A. Polkovnikov, and S. Kehrein, Phys. Rev. Lett. 110, 135704 (2013)
work page 2013
- [35]
- [36]
- [37]
- [38]
- [39]
-
[40]
J. C. Halimeh and V. Zauner-Stauber, Phys. Rev. B 96, 134427 (2017)
work page 2017
-
[41]
I. Homrighausen, N. O. Abeling, V. Zauner-Stauber, and J. C. Halimeh, Phys. Rev. B 96, 104436 (2017)
work page 2017
-
[42]
J. Lang, B. Frank, and J. C. Halimeh, Phys. Rev. B 97, 174401 (2018). 6
work page 2018
-
[43]
M. Van Damme, J.-Y. Desaules, Z. Papi´ c, and J. C. Halimeh, (2022), 10.48550/arXiv.2210.02453, arXiv:2210.02453 [cond-mat, physics:quant-ph]
-
[44]
M. Van Damme, T. V. Zache, D. Banerjee, P. Hauke, and J. C. Halimeh, (2022), 10.48550/arXiv.2203.01337, arXiv:2203.01337 [cond-mat, physics:hep-lat, physics:quant-ph]
-
[45]
P. Jurcevic, H. Shen, P. Hauke, C. Maier, T. Brydges, C. Hempel, B. P. Lanyon, M. Heyl, R. Blatt, and C. F. Roos, Phys. Rev. Lett. 119, 080501 (2017)
work page 2017
-
[46]
L.-N. Wu, J. Nettersheim, J. Feß, A. Schnell, S. Bur- gardt, S. Hiebel, D. Adam, A. Eckardt, and A. Widera, (2022), 10.48550/arXiv.2208.05164, arXiv:2208.05164 [cond-mat, physics:quant-ph]
-
[47]
A. Kandala, K. Temme, A. D. C´ orcoles, A. Mezzacapo, J. M. Chow, and J. M. Gambetta, Nature 567, 491 (2019)
work page 2019
-
[48]
S. Endo, Z. Cai, S. C. Benjamin, and X. Yuan, J. Phys. Soc. Jpn. 90, 032001 (2021)
work page 2021
-
[49]
T. Giurgica-Tiron, Y. Hindy, R. LaRose, A. Mari, and W. J. Zeng, in 2020 IEEE International Conference on Quantum Computing and Engineering (QCE) (2020) pp. 306–316
work page 2020
- [50]
-
[51]
R. L. Burden and J. D. Faires, Numerical Analysis (Cen- gage Learning, 2010)
work page 2010
-
[52]
S. Montangero, Introduction to Tensor Network Meth- ods: Numerical Simulations of Low-Dimensional Many- Body Quantum Systems (Springer International Publish- ing, Cham, 2018)
work page 2018
-
[53]
Y. Javanmard, D. Trapin, S. Bera, J. H. Bardarson, and M. Heyl, New J. Phys. 20, 083032 (2018)
work page 2018
-
[54]
J. I. Cirac, D. P´ erez-Garc´ ıa, N. Schuch, and F. Ver- straete, Rev. Mod. Phys. 93, 045003 (2021)
work page 2021
-
[55]
N. Hatano and M. Suzuki, Quantum Annealing and Other Optimization Methods , Lecture Notes in Physics, 37 (2005)
work page 2005
-
[56]
Qiskit: An open-source framework for quantum computing,
IBM-Quantum, “Qiskit: An open-source framework for quantum computing,” (2021)
work page 2021
- [57]
-
[58]
B. Fauseweh and J.-X. Zhu, Quantum Inf Process 20, 138 (2021). 1 SUPPLEMENT AL MA TERIAL: QUANTUM SIMULA TION OF DYNAMICAL PHASE TRANSITIONS IN NOISY QUANTUM DEVICES We provide additional details and numerical results supplementing the conclusions from the main text. MA TRIX PRODUCT DENSITY OPERA TORS The vectorized Liouvillian is given by L# ≡−i(H⊗ I− I⊗...
work page 2021
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