Solving the Peierls-Boltzmann transport equation with matrix product states
Pith reviewed 2026-05-10 18:30 UTC · model grok-4.3
The pith
Matrix product states solve the Peierls-Boltzmann transport equation for silicon with high accuracy and sublinear cost
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
An MPS representation of the solution to the discretized Peierls-Boltzmann equation, built with scattering-event ordering, dimensionless scaling, and optimal index ordering that joins coarsest real and modal grids at the center, allows truncation to a compression ratio of 10^{-3} while reproducing reference solutions with high fidelity for crystalline silicon in ballistic, quasi-ballistic, and diffusive regimes; the computational cost scales sublinearly with the number of grid points and yields roughly an order-of-magnitude reduction in runtime compared with the finite-volume method using sparse matrix operations.
What carries the argument
The matrix product state (MPS) of the phonon distribution function, ordered according to scattering events with real-space and modal-space chains joined at their coarsest indices in the center, which localizes inter-tensor correlations enough to permit aggressive low-rank compression.
If this is right
- Accurate solutions are obtained for crystalline silicon in ballistic, quasi-ballistic, and diffusive transport regimes.
- Computational cost scales sublinearly with the number of grid points in both real and modal spaces.
- Truncation to a compression ratio of 10^{-3} reproduces reference solutions with high fidelity.
- Roughly an order of magnitude reduction in computational time is achieved compared with the finite-volume method using sparse matrix operations.
Where Pith is reading between the lines
- The same locality principle may allow tensor-network methods to be applied to other high-dimensional kinetic equations that share similar phase-space structure.
- Finer grids than those tested here could become practical, revealing finer details of quasi-ballistic phonon transport.
- The approach suggests a route to simulating phonon transport in complex device geometries where conventional methods become prohibitively expensive.
Load-bearing premise
That the chosen MPS index ordering based on scattering events together with dimensionless variables creates sufficiently local correlations to allow strong compression without destroying the accuracy of the transport solution.
What would settle it
A direct numerical comparison on the same finite-volume grid for silicon showing that the MPS solution truncated at compression ratio 10^{-3} deviates substantially from the full reference solution in the diffusive regime would falsify the claim of sufficient accuracy.
Figures
read the original abstract
The Peierls-Boltzmann transport equation (PBE), which governs non-equilibrium phonon transport, suffers from the curse of dimensionality due to its high-dimensional phase space including both real and modal spaces. We explore the use of matrix product states (MPS) for numerical simulation of the PBE. We show that an MPS configuration based on scattering events combined with a dimensionless form of the solution can drastically increase the locality of correlations between tensors in the MPS representation, enhancing its effectiveness in dimension reduction. We further examine the effects of index ordering in an MPS and find that the highest locality is achieved when tensor chains associated with both real and modal spaces are connected from the coarsest grid to each other in the center of the MPS. Using this optimal configuration and a solver inspired by the density matrix renormalization group, we solve the PBE discretized by a finite volume method (FVM). The solution is obtained for crystalline silicon across ballistic, quasi-ballistic, and diffusive transport regimes. An MPS truncated to the compression ratio of $10^{-3}$ suffices to reproduce reference solutions with high fidelity. The computational cost scales sublinearly with the number of grid points in both real and modal spaces, achieving roughly an order of magnitude reduction in computational time compared to the FVM with sparse matrix operation.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript proposes solving the high-dimensional Peierls-Boltzmann transport equation (PBE) for phonon transport using matrix product states (MPS). It introduces an MPS configuration based on scattering events together with a dimensionless form of the solution, combined with an index ordering that connects coarsest grids from real and modal spaces at the MPS center. A DMRG-inspired solver is applied to the finite-volume-method (FVM) discretization, yielding solutions for crystalline silicon in ballistic, quasi-ballistic, and diffusive regimes. The paper reports that truncation at a compression ratio of 10^{-3} reproduces reference FVM solutions with high fidelity while the computational cost scales sublinearly with the number of grid points, achieving roughly an order-of-magnitude reduction in wall time relative to sparse-matrix FVM.
Significance. If the reported fidelity and scaling hold under the proposed configuration, the work demonstrates that tensor-network compression can mitigate the curse of dimensionality in phonon transport simulations. The explicit numerical support for sublinear scaling across transport regimes and the order-of-magnitude speedup constitute concrete evidence that appropriately chosen MPS representations can compress the discretized PBE solution space effectively.
major comments (1)
- [Results and MPS configuration sections] The central claim that the scattering-event MPS configuration plus dimensionless rescaling produces sufficiently rapid decay of correlations to permit 10^{-3} truncation across regimes (abstract and results) is load-bearing for the method's generality. The manuscript presents final accuracy and sublinear wall-time scaling but does not report singular-value spectra, entanglement entropy versus bond index, or bond-dimension growth versus grid size for the three regimes. Without these diagnostics it remains possible that the observed fidelity is regime-specific or arises from the operator representation rather than the claimed localization of the solution itself.
minor comments (2)
- [Abstract and Results] Quantitative error metrics (e.g., relative L2 or maximum deviation) used to define 'high fidelity' should be stated explicitly rather than left as a qualitative descriptor.
- [Methods] Implementation details of the DMRG-inspired solver (sweeping schedule, convergence criteria, handling of the FVM-to-MPS mapping) are only sketched; expanding them would aid reproducibility.
Simulated Author's Rebuttal
We are grateful to the referee for the detailed and insightful report. The suggestion to include additional diagnostics on the MPS structure is valuable, and we will revise the manuscript accordingly to provide stronger support for our claims.
read point-by-point responses
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Referee: [Results and MPS configuration sections] The central claim that the scattering-event MPS configuration plus dimensionless rescaling produces sufficiently rapid decay of correlations to permit 10^{-3} truncation across regimes (abstract and results) is load-bearing for the method's generality. The manuscript presents final accuracy and sublinear wall-time scaling but does not report singular-value spectra, entanglement entropy versus bond index, or bond-dimension growth versus grid size for the three regimes. Without these diagnostics it remains possible that the observed fidelity is regime-specific or arises from the operator representation rather than the claimed localization of the solution itself.
Authors: We agree that these diagnostics would provide direct evidence for the rapid decay of correlations enabled by the scattering-event configuration and dimensionless rescaling. The current manuscript demonstrates the effectiveness through the high fidelity of the 10^{-3} truncated MPS solutions matching the reference FVM results across ballistic, quasi-ballistic, and diffusive regimes, along with sublinear scaling in grid size. However, to address the possibility of regime-specific behavior or operator-driven effects, we will include in the revised manuscript the singular-value spectra for the MPS in each regime, entanglement entropy as a function of bond index, and the required bond dimension as a function of grid size. These additions will confirm the locality of the solution and support the generality of the approach. revision: yes
Circularity Check
No circularity in numerical MPS solver for discretized PBE
full rationale
The paper presents a computational method: finite-volume discretization of the PBE followed by an MPS representation whose index ordering and scattering-event grouping, together with a dimensionless rescaling, are chosen to improve tensor locality. The central results (high-fidelity reproduction of independent FVM reference solutions across ballistic-to-diffusive regimes, sublinear scaling, and 10^{-3} truncation sufficiency) are obtained by running the solver and comparing outputs; they are not quantities defined in terms of themselves, fitted parameters renamed as predictions, or self-citation chains. No load-bearing step reduces by construction to an input, and the manuscript relies on external reference solutions and standard DMRG-inspired techniques rather than tautological derivations.
Axiom & Free-Parameter Ledger
free parameters (1)
- compression ratio =
10^{-3}
axioms (2)
- domain assumption The Peierls-Boltzmann transport equation can be discretized by finite volume method on combined real and modal grids.
- domain assumption The chosen index ordering and dimensionless form produce sufficiently local correlations for low-bond-dimension MPS to be accurate.
Lean theorems connected to this paper
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
an MPS configuration based on scattering events combined with a dimensionless form of the solution can drastically increase the locality of correlations... mountain configuration... χ_max=5-7 suffices
-
IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
entanglement entropy... Schmidt spectrum... truncation error ϵ_l(χ_l)<10^{-5}
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
G. Chen, Non-Fourier phonon heat conduction at the mi- croscale and nanoscale, Nature Reviews Physics3, 555 (2021)
work page 2021
-
[2]
D. G. Cahill, P. V. Braun, G. Chen, D. R. Clarke, S. Fan, K. E. Goodson, P. Keblinski, W. P. King, G. D. Mahan, A. Majumdar, H. J. Maris, S. R. Phillpot, E. Pop, and L. Shi, Nanoscale thermal transport. II. 2003–2012, Appl. Phys. Rev.1, 011305 (2014)
work page 2003
-
[3]
S. Mazumder, Boltzmann transport equation based mod- eling of phonon heat conduction: progress and challenges, Annual Review of Heat Transfer24(2021)
work page 2021
-
[4]
J. Y. Murthy and S. R. Mathur, Computation of Sub- Micron Thermal Transport Using an Unstructured Fi- nite Volume Method, Journal of Heat Transfer124, 1176 (2002)
work page 2002
-
[5]
A. Mittal and S. Mazumder, Hybrid discrete ordi- nates—spherical harmonics solution to the Boltzmann Transport Equation for phonons for non-equilibrium heat conduction, Journal of Computational Physics230, 6977 (2011)
work page 2011
-
[6]
Y. Hu, R. Jia, J. Xu, Y. Sheng, M. Wen, J. Lin, Y. Shen, and H. Bao, GiftBTE: an efficient deterministic solver for non-gray phonon Boltzmann transport equation, Journal of Physics: Condensed Matter36, 025901 (2023)
work page 2023
-
[7]
L. Lindsay, C. Hua, X. L. Ruan, and S. Lee, Survey of ab initio phonon thermal transport, Materials Today Physics7, 106 (2018)
work page 2018
-
[8]
L. Lindsay, A. Katre, A. Cepellotti, and N. Mingo, Per- spective on ab initio phonon thermal transport, Journal of Applied Physics126, 050902 (2019)
work page 2019
-
[9]
J.-P. M. P´ eraud, C. D. Landon, and N. G. Hadjicon- stantinou, Deviational methods for small-scale phonon transport, Mechanical Engineering Reviews1, FE0013 (2014)
work page 2014
- [10]
- [11]
-
[12]
F. Verstraete, V. Murg, and J. Cirac, Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin sys- tems, Adv. Phys.57, 143 (2008)
work page 2008
-
[13]
U. Schollw¨ ock, The density-matrix renormalization group in the age of matrix product states, Annals of Physics 326, 96 (2011)
work page 2011
-
[14]
R. Or´ us, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Annals of Physics349, 117 (2014)
work page 2014
-
[15]
Or´ us, Tensor networks for complex quantum systems, Nature Reviews Physics1, 538 (2019)
R. Or´ us, Tensor networks for complex quantum systems, Nature Reviews Physics1, 538 (2019)
work page 2019
-
[16]
S. Paeckel, T. K¨ ohler, A. Swoboda, S. R. Manmana, U. Schollw¨ ock, and C. Hubig, Time-evolution meth- ods for matrix-product states, Ann. Phys.411, 167998 (2019)
work page 2019
-
[17]
M. C. Ba˜ nuls, Tensor Network Algorithms: A Route Map, Annual Review of Condensed Matter Physics14, 173–191 (2023)
work page 2023
-
[18]
N. Gourianov, M. Lubasch, S. Dolgov, Q. Y. van den Berg, H. Babaee, P. Givi, M. Kiffner, and D. Jaksch, A quantum-inspired approach to exploit turbulence struc- tures, Nature Computational Science2, 30 (2022)
work page 2022
-
[19]
L. H¨ olscher, P. Rao, L. M¨ uller, J. Klepsch, A. Luckow, T. Stollenwerk, and F. K. Wilhelm, Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration, Phys. Rev. Res.7, 013112 (2025)
work page 2025
-
[20]
N. Gourianov, P. Givi, D. Jaksch, and S. B. Pope, Tensor networks enable the calculation of turbulence probability distributions, Sci. Adv.11, eads5990 (2025), arXiv:2407.09169 [physics]
-
[21]
F. G´ omez-Lozada, N. Perico-Garc´ ıa, N. Gourianov, H. Salman, and J. J. Mendoza-Arenas, Simulating quantum turbulence with matrix product states, arXiv preprint arXiv:2508.12191 (2025)
-
[22]
R. J. J. Connor, C. W. Duncan, and A. J. Daley, Tensor network methods for the gross-pitaevskii equation on fine grids, New J. Phys.28, 023203 (2026)
work page 2026
-
[23]
D. Adak, D. P. Truong, G. Manzini, K. Ø. Ras- mussen, and B. S. Alexandrov, Tensor Network Space- Time Spectral Collocation Method for Time-Dependent Convection-Diffusion-Reaction Equations, Mathematics 12, 2988 (2024)
work page 2024
-
[24]
R. Pinkston, N. Gourianov, H. Alipanah, P. Givi, D. Jaksch, and J. J. Mendoza-Arenas, Matrix Product State Simulation of Reacting Shear Flows, arXiv preprint arXiv:2512.13661 (2025)
- [25]
- [26]
-
[27]
M. Kiffner and D. Jaksch, Tensor network reduced or- der models for wall-bounded flows, Phys. Rev. Fluids8, 124101 (2023)
work page 2023
-
[28]
R. D. Peddinti, S. Pisoni, A. Marini, P. Lott, H. Argen- tieri, E. Tiunov, and L. Aolita, Quantum-inspired frame- work for computational fluid dynamics, Commun. Phys. 7, 1 (2024)
work page 2024
-
[29]
N.-L. van H¨ ulst, P. Siegl, P. Over, S. Bengoechea, T. Hashizume, M. G. Cecile, T. Rung, and D. Jaksch, Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordi- nates (2025), arXiv:2507.05222 [physics]
work page internal anchor Pith review arXiv 2025
-
[30]
S. Fraschini, V. Kazeev, and I. Perugia, Symplectic QTT- 12 FEM solution of the one-dimensional acoustic wave equa- tion in the time domain (2024), arXiv:2411.11321
- [31]
-
[32]
D. P. Truong, M. I. Ortega, I. Boureima, G. Manzini, K. Ø. Rasmussen, and B. S. Alexandrov, Tensor networks for solving the time-independent Boltzmann neutron transport equation, Journal of computational physics 507, 112943 (2024)
work page 2024
-
[33]
J. C. Bridgeman and C. T. Chubb, Hand-waving and in- terpretive dance: an introductory course on tensor net- works, Journal of Physics A: Mathematical and Theoret- ical50, 223001 (2017)
work page 2017
-
[34]
J. I. Cirac, D. P´ erez-Garc´ ıa, N. Schuch, and F. Ver- straete, Matrix product states and projected entangled pair states: Concepts, symmetries, theorems, Rev. Mod. Phys.93, 045003 (2021)
work page 2021
-
[35]
G. Catarina and B. Murta, Density-matrix renormaliza- tion group: A pedagogical introduction, Eur. Phys. J. B 96, 111 (2023)
work page 2023
-
[36]
J. H. Ferziger, M. Peri´ c, and R. L. Street,Computational methods for fluid dynamics, Vol. 3 (Springer, 2002)
work page 2002
-
[37]
M. Lubasch, P. Moinier, and D. Jaksch, Multigrid renor- malization, Journal of computational physics372, 587 (2018)
work page 2018
-
[38]
J. J. Garc´ ıa-Ripoll, Quantum-inspired algorithms for multivariate analysis: from interpolation to partial dif- ferential equations, Quantum5, 431 (2021)
work page 2021
-
[39]
Y. Saad and M. H. Schultz, GMRES: A generalized min- imal residual algorithm for solving nonsymmetric linear systems, SIAM Journal on scientific and statistical com- puting7, 856 (1986)
work page 1986
-
[40]
M. Fishman, S. White, and E. Stoudenmire, The ITensor software library for tensor network calculations, SciPost Physics Codebases , 004 (2022)
work page 2022
-
[41]
F. Verstraete and J. I. Cirac, Matrix product states rep- resent ground states faithfully, Physical Review B73, 094423 (2006)
work page 2006
-
[42]
J. M. Ziman,Electrons and Phonons: the Theory of Transport Phenomena in Solids(Oxford University Press, UK, 1960)
work page 1960
-
[43]
X. Li, J. Han, and S. Lee, Thermal resistance from non- equilibrium phonons at Si–Ge interface, Materials Today Physics34, 101063 (2023)
work page 2023
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