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

Taylor series perspective on ab initio path integral Monte Carlo simulations with Fermi-Dirac statistics

Tobias Dornheim1,2,*, Alexander Benedix Robles2,1,3, Paul Hamann1,4,2, Thomas M. Chuna2,1, Pontus Svensson1,2, Sebastian Schwalbe1,2, Zhandos A. Moldabekov1,2, Panagiotis Tolias5, and Jan Vorberger1

  • *Contact author: t.dornheim@hzdr.de

Phys. Rev. Research 8, 023042 – Published 13 April, 2026

DOI: https://doi.org/10.1103/53fr-mnm6

Abstract

The fermion sign problem constitutes a fundamental computational bottleneck across a plethora of research fields in physics, quantum chemistry, and related disciplines. Recently, it has been suggested to alleviate the sign problem in ab initio path integral molecular dynamics and path integral Monte Carlo (PIMC) calculations based on the simulation of fictitious identical particles that are represented by a continuous quantum statistics variable ξ [Xiong and Xiong, J. Chem. Phys. 157, 094112 (2022)]. This idea facilitated a host of applications including the interpretation of an x-ray scattering experiment with strongly compressed beryllium at the National Ignition Facility [Dornheim et al., Nat. Commun. 16, 5103 (2025)]. In the present work, we express the original isothermal ξ extrapolation method as a special case of a truncated Taylor series expansion around the ξ=0 limit of distinguishable particles. We derive PIMC estimators that allow us to evaluate the Taylor coefficients up to arbitrary order and we carry out extensive PIMC simulations of the warm dense electron gas to systematically analyze the sign problem from this perspective. This gives us important insights into the applicability of the ξ extrapolation method for different levels of quantum degeneracy in terms of the Taylor series radius of convergence. Moreover, the direct PIMC evaluation of the ξ derivatives, in principle, removes the necessity for simulations at different values of ξ and can facilitate more efficient simulations that are designed to maximize compute time in those regions of the full permutation space that contribute most to the final Taylor estimate of the fermionic expectation value of interest.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (215)

  1. J. B. Anderson, Quantum Monte Carlo: Origins, Development, Applications (Oxford University Press, Oxford, UK, 2007).
  2. W. M. C. Foulkes, L. Mitas, R. J. Needs, and G. Rajagopal, Quantum Monte Carlo simulations of solids, Rev. Mod. Phys. 73, 33 (2001).
  3. D. M. Ceperley, Path integrals in the theory of condensed helium, Rev. Mod. Phys. 67, 279 (1995).
  4. L. Pollet, Recent developments in quantum Monte Carlo simulations with applications for cold gases, Rep. Prog. Phys. 75, 094501 (2012).
  5. G. H. Booth, A. Grüneis, G. Kresse, and A. Alavi, Towards an exact description of electronic wavefunctions in real solids, Nature (London) 493, 365 (2013).
  6. D. M. Ceperley and B. J. Alder, Ground state of the electron gas by a stochastic method, Phys. Rev. Lett. 45, 566 (1980).
  7. G. H. Booth, A. J. W. Thom, and A. Alavi, Fermion Monte Carlo without fixed nodes: A game of life, death, and annihilation in slater determinant space, J. Chem. Phys. 131, 054106 (2009).
  8. D. Pfau, J. S. Spencer, A. G. D. G. Matthews, and W. M. C. Foulkes, Ab initio solution of the many-electron Schrödinger equation with deep neural networks, Phys. Rev. Res. 2, 033429 (2020).
  9. K. Van Houcke, S. M. A. Rombouts, and L. Pollet, Quantum Monte Carlo simulation in the canonical ensemble at finite temperature, Phys. Rev. E 73, 056703 (2006).
  10. D. M. Ceperley, Path-integral calculations of normal liquid He3, Phys. Rev. Lett. 69, 331 (1992).
  11. T. Dornheim, S. Groth, F. D. Malone, T. Schoof, T. Sjostrom, W. M. C. Foulkes, and M. Bonitz, Ab initio quantum Monte Carlo simulation of the warm dense electron gas, Phys. Plasmas 24, 056303 (2017).
  12. T. Schoof, S. Groth, J. Vorberger, and M. Bonitz, Ab initio thermodynamic results for the degenerate electron gas at finite temperature, Phys. Rev. Lett. 115, 130402 (2015).
  13. N. S. Blunt, T. W. Rogers, J. S. Spencer, and W. M. C. Foulkes, Density-matrix quantum Monte Carlo method, Phys. Rev. B 89, 245124 (2014).
  14. F. D. Malone, N. S. Blunt, J. J. Shepherd, D. K. K. Lee, J. S. Spencer, and W. M. C. Foulkes, Interaction picture density matrix quantum Monte Carlo, J. Chem. Phys. 143, 044116 (2015).
  15. K. P. Driver and B. Militzer, All-electron path integral Monte Carlo simulations of warm dense matter: Application to water and carbon plasmas, Phys. Rev. Lett. 108, 115502 (2012).
  16. M. Boninsegni, N. V. Prokofev, and B. V. Svistunov, Worm algorithm and diagrammatic Monte Carlo: A new approach to continuous-space path integral Monte Carlo simulations, Phys. Rev. E 74, 036701 (2006).
  17. S. Saccani, S. Moroni, and M. Boninsegni, Excitation spectrum of a supersolid, Phys. Rev. Lett. 108, 175301 (2012).
  18. N. Kawashima and K. Harada, Recent developments of world-line Monte Carlo methods, J. Phys. Soc. Jpn. 73, 1379 (2004).
  19. J. Lee, M. A. Morales, and F. D. Malone, A phaseless auxiliary-field quantum Monte Carlo perspective on the uniform electron gas at finite temperatures: Issues, observations, and benchmark study, J. Chem. Phys. 154, 064109 (2021).
  20. A. Filinov and M. Bonitz, Collective and single-particle excitations in two-dimensional dipolar Bose gases, Phys. Rev. A 86, 043628 (2012).
  21. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, Equation of state calculations by fast computing machines, J. Chem. Phys. 21, 1087 (1953).
  22. E. L. Pollock and D. M. Ceperley, Simulation of quantum many-body systems by path-integral methods, Phys. Rev. B 30, 2555 (1984).
  23. M. F. Herman, E. J. Bruskin, and B. J. Berne, On path integral Monte Carlo simulations, J. Chem. Phys. 76, 5150 (1982).
  24. M. Takahashi and M. Imada, Monte Carlo calculation of quantum systems, J. Phys. Soc. Jpn. 53, 963 (1984).
  25. D. Chandler and P. G. Wolynes, Exploiting the isomorphism between quantum theory and classical statistical mechanics of polyatomic fluids, J. Chem. Phys. 74, 4078 (1981).
  26. H. F. Jordan and L. D. Fosdick, Three-particle effects in the pair distribution function for He4 gas, Phys. Rev. 171, 128 (1968).
  27. L. D. Fosdick and H. F. Jordan, Path-integral calculation of the two-particle slater sum for He4, Phys. Rev. 143, 58 (1966).
  28. P. Sindzingre, M. L. Klein, and D. M. Ceperley, Path-integral Monte Carlo study of low-temperature He4 clusters, Phys. Rev. Lett. 63, 1601 (1989).
  29. A. Filinov, N. V. Prokof’ev, and M. Bonitz, Berezinskii-Kosterlitz-Thouless transition in two-dimensional dipole systems, Phys. Rev. Lett. 105, 070401 (2010).
  30. T. Dornheim, A. Filinov, and M. Bonitz, Superfluidity of strongly correlated bosons in two- and three-dimensional traps, Phys. Rev. B 91, 054503 (2015).
  31. E. L. Pollock and D. M. Ceperley, Path-integral computation of superfluid densities, Phys. Rev. B 36, 8343 (1987).
  32. M. Boninsegni, A. B. Kuklov, L. Pollet, N. V. Prokof’ev, B. V. Svistunov, and M. Troyer, Fate of vacancy-induced supersolidity in He4, Phys. Rev. Lett. 97, 080401 (2006).
  33. M. Boninsegni and N. V. Prokof’ev, Colloquium: Supersolids: What and where are they? Rev. Mod. Phys. 84, 759 (2012).
  34. G. Ferré and J. Boronat, Dynamic structure factor of liquid He4 across the normal-superfluid transition, Phys. Rev. B 93, 104510 (2016).
  35. T. Dornheim, Z. A. Moldabekov, J. Vorberger, and B. Militzer, Path integral Monte Carlo approach to the structural properties and collective excitations of liquid He3 without fixed nodes, Sci. Rep. 12, 708 (2022).
  36. T. Dornheim, S. Groth, J. Vorberger, and M. Bonitz, Ab initio path integral Monte Carlo results for the dynamic structure factor of correlated electrons: From the electron liquid to warm dense matter, Phys. Rev. Lett. 121, 255001 (2018).
  37. E. Vitali, M. Rossi, L. Reatto, and D. E. Galli, Ab initio low-energy dynamics of superfluid and solid He4, Phys. Rev. B 82, 174510 (2010).
  38. Y. Kora and M. Boninsegni, Dynamic structure factor of superfluid He4 from quantum Monte Carlo: Maximum entropy revisited, Phys. Rev. B 98, 134509 (2018).
  39. B. K. Clark, M. Casula, and D. M. Ceperley, Hexatic and mesoscopic phases in a 2D quantum Coulomb system, Phys. Rev. Lett. 103, 055701 (2009).
  40. A. V. Filinov, M. Bonitz, and Y. E. Lozovik, Wigner crystallization in mesoscopic 2D electron systems, Phys. Rev. Lett. 86, 3851 (2001).
  41. M. H. Müser, P. Nielaba, and K. Binder, Path-integral Monte Carlo study of crystalline Lennard-Jones systems, Phys. Rev. B 51, 2723 (1995).
  42. D. Bhattacharya, A. V. Filinov, A. Ghosal, and M. Bonitz, Role of confinements on the melting of Wigner molecules in quantum dots, Eur. Phys. J. B 89, 60 (2016).
  43. C. M. Herdman, P.-N. Roy, R. G. Melko, and A. Del Maestro, Entanglement area law in superfluid He4, Nat. Phys. 13, 556 (2017).
  44. M. Boninsegni, N. V. Prokofev, and B. V. Svistunov, Worm algorithm for continuous-space path integral Monte Carlo simulations, Phys. Rev. Lett. 96, 070601 (2006).
  45. M. Troyer and U. J. Wiese, Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations, Phys. Rev. Lett. 94, 170201 (2005).
  46. E. Y. Loh, J. E. Gubernatis, R. T. Scalettar, S. R. White, D. J. Scalapino, and R. L. Sugar, Sign problem in the numerical simulation of many-electron systems, Phys. Rev. B 41, 9301 (1990).
  47. T. Dornheim, Fermion sign problem in path integral Monte Carlo simulations: Quantum dots, ultracold atoms, and warm dense matter, Phys. Rev. E 100, 023307 (2019).
  48. T. Dornheim, Fermion sign problem in path integral Monte Carlo simulations: Grand-canonical ensemble, J. Phys. A: Math. Theor. 54, 335001 (2021).
  49. M. Y. Kagan and A. V. Turlapov, BCS–BEC crossover, collective excitations, and hydrodynamics of superfluid quantum liquids and gases, Phys. Usp. 62, 215 (2019).
  50. H. Godfrin, M. Meschke, H.-J. Lauter, A. Sultan, H. M. Böhm, E. Krotscheck, and M. Panholzer, Observation of a roton collective mode in a two-dimensional Fermi liquid, Nature (London) 483, 576 (2012).
  51. T. Dornheim, Z. Moldabekov, J. Vorberger, H. Kählert, and M. Bonitz, Electronic pair alignment and roton feature in the warm dense electron gas, Commun. Phys. 5, 304 (2022).
  52. P. Hamann, L. Kordts, A. Filinov, M. Bonitz, T. Dornheim, and J. Vorberger, Prediction of a roton-type feature in warm dense hydrogen, Phys. Rev. Res. 5, 033039 (2023).
  53. T. M. Chuna, J. Vorberger, P. Tolias, A. B. Robles, M. Hecht, P.-A. Hofmann, Z. A. Moldabekov, and T. Dornheim, Second roton feature in the strongly coupled electron liquid, J. Chem. Phys. 163, 034117 (2025).
  54. V. Bobrov, S. Trigger, and D. Litinski, Universality of the phonon–roton spectrum in liquids and superfluidity of He4, Z. Naturforsch. A 71, 565 (2016).
  55. S. Azadi and N. D. Drummond, Low-density phase diagram of the three-dimensional electron gas, Phys. Rev. B 105, 245135 (2022).
  56. N. D. Drummond, Z. Radnai, J. R. Trail, M. D. Towler, and R. J. Needs, Diffusion quantum Monte Carlo study of three-dimensional Wigner crystals, Phys. Rev. B 69, 085116 (2004).
  57. R. Egger, W. Häusler, C. H. Mak, and H. Grabert, Crossover from Fermi liquid to Wigner molecule behavior in quantum dots, Phys. Rev. Lett. 82, 3320 (1999).
  58. J. Vorberger, et al., Roadmap for warm dense matter physics, arXiv:2505.02494 [Plasma Phys. Control. Fusion (to be published)].
  59. Edited by F. Graziani, M. P. Desjarlais, R. Redmer, and S. B. Trickey, in Frontiers and Challenges in Warm Dense Matter (Springer, Cham, Switzerland, 2014).
  60. R. P. Drake, High-Energy-Density Physics: Foundation of Inertial Fusion and Experimental Astrophysics, Graduate Texts in Physics (Springer, Heidelberg, Germany, 2018).
  61. T. Guillot, Y. Miguel, B. Militzer, W. B. Hubbard, Y. Kaspi, E. Galanti, H. Cao, R. Helled, S. M. Wahl, L. Iess, W. M. Folkner, D. J. Stevenson, J. I. Lunine, D. R. Reese, A. Biekman, M. Parisi, D. Durante, J. E. P. Connerney, S. M. Levin, and S. J. Bolton, A suppression of differential rotation in jupiter’s deep interior, Nature (London) 555, 227 (2018).
  62. D. Saumon, S. Blouin, and P.-E. Tremblay, Current challenges in the physics of white dwarf stars, Phys. Rep. 988, 1 (2022).
  63. D. Kraus, et al., Nanosecond formation of diamond and lonsdaleite by shock compression of graphite, Nat. Commun. 7, 10970 (2016).
  64. D. Kraus, et al., Formation of diamonds in laser-compressed hydrocarbons at planetary interior conditions, Nat. Astron. 1, 606 (2017).
  65. A. Lazicki, et al., Metastability of diamond ramp-compressed to 2 terapascals, Nature (London) 589, 532 (2021).
  66. S. X. Hu, B. Militzer, V. N. Goncharov, and S. Skupsky, First-principles equation-of-state table of deuterium for inertial confinement fusion applications, Phys. Rev. B 84, 224109 (2011).
  67. D. Batani, A. Colaïtis, F. Consoli, C. N. Danson, L. Antonio Gizzi, J. Honrubia, T. Kühl, S. Le Pape, J.-L. Miquel, J. Manuel Perlado, R. H. H. Scott, M. Tatarakis, V. Tikhonchuk, and L. Volpe, Future for inertial-fusion energy in Europe: A roadmap, High Power Laser Sci. Eng. 11, e83 (2023).
  68. O. A. Hurricane, P. K. Patel, R. Betti, D. H. Froula, S. P. Regan, S. A. Slutz, M. R. Gomez, and M. A. Sweeney, Physics principles of inertial confinement fusion and U.S. program overview, Rev. Mod. Phys. 95, 025005 (2023).
  69. H. Abu-Shawareb, et al. (The Indirect Drive ICF Collaboration), Achievement of target gain larger than unity in an inertial fusion experiment, Phys. Rev. Lett. 132, 065102 (2024).
  70. M. Bonitz, T. Dornheim, Z. A. Moldabekov, S. Zhang, P. Hamann, H. Kählert, A. Filinov, K. Ramakrishna, and J. Vorberger, Ab initio simulation of warm dense matter, Phys. Plasmas 27, 042710 (2020).
  71. T. Dornheim, Z. A. Moldabekov, K. Ramakrishna, P. Tolias, A. D. Baczewski, D. Kraus, T. R. Preston, D. A. Chapman, M. P. Böhme, T. Döppner, F. Graziani, M. Bonitz, A. Cangi, and J. Vorberger, Electronic density response of warm dense matter, Phys. Plasmas 30, 032705 (2023).
  72. M. Bonitz, et al., Toward first principles-based simulations of dense hydrogen, Phys. Plasmas 31, 110501 (2024).
  73. T. Schoof, S. Groth, and M. Bonitz, Towards ab initio thermodynamics of the electron gas at strong degeneracy, Contrib. Plasma Phys. 55, 136 (2015).
  74. S. Groth, T. Schoof, T. Dornheim, and M. Bonitz, Ab initio quantum Monte Carlo simulations of the uniform electron gas without fixed nodes, Phys. Rev. B 93, 085102 (2016).
  75. S. A. Chin, High-order path-integral Monte Carlo methods for solving quantum dot problems, Phys. Rev. E 91, 031301(R) (2015).
  76. T. Dornheim, S. Groth, A. Filinov, and M. Bonitz, Permutation blocking path integral Monte Carlo: A highly efficient approach to the simulation of strongly degenerate non-ideal fermions, New J. Phys. 17, 073017 (2015).
  77. F. D. Malone, N. S. Blunt, E. W. Brown, D. K. K. Lee, J. S. Spencer, W. M. C. Foulkes, and J. J. Shepherd, Accurate exchange-correlation energies for the warm dense electron gas, Phys. Rev. Lett. 117, 115701 (2016).
  78. T. Shen, Y. Liu, Y. Yu, and B. M. Rubenstein, Finite temperature auxiliary field quantum Monte Carlo in the canonical ensemble, J. Chem. Phys. 153, 204108 (2020).
  79. E. W. Brown, B. K. Clark, J. L. DuBois, and D. M. Ceperley, Path-integral Monte Carlo simulation of the warm dense homogeneous electron gas, Phys. Rev. Lett. 110, 146405 (2013).
  80. Y. Xiong and H. Xiong, On the thermodynamic properties of fictitious identical particles and the application to fermion sign problem, J. Chem. Phys. 157, 094112 (2022).
  81. Y. Xiong, S. Liu, and H. Xiong, Quadratic scaling path integral molecular dynamics for fictitious identical particles and its application to fermion systems, Phys. Rev. E 110, 065303 (2024).
  82. B. Hirshberg, M. Invernizzi, and M. Parrinello, Path integral molecular dynamics for fermions: Alleviating the sign problem with the bogoliubov inequality, J. Chem. Phys. 152, 171102 (2020).
  83. T. Dornheim, M. Invernizzi, J. Vorberger, and B. Hirshberg, Attenuating the fermion sign problem in path integral Monte Carlo simulations using the Bogoliubov inequality and thermodynamic integration, J. Chem. Phys. 153, 234104 (2020).
  84. T. Dornheim, P. Tolias, S. Groth, Z. A. Moldabekov, J. Vorberger, and B. Hirshberg, Fermionic physics from ab initio path integral Monte Carlo simulations of fictitious identical particles, J. Chem. Phys. 159, 164113 (2023).
  85. A. Yilmaz, K. Hunger, T. Dornheim, S. Groth, and M. Bonitz, Restricted configuration path integral Monte Carlo, J. Chem. Phys. 153, 124114 (2020).
  86. T. Dornheim, S. Schwalbe, M. P. Böhme, Z. A. Moldabekov, J. Vorberger, and P. Tolias, Ab initio path integral Monte Carlo simulations of warm dense two-component systems without fixed nodes: Structural properties, J. Chem. Phys. 160, 164111 (2024).
  87. T. Dornheim, T. Döppner, P. Tolias, M. P. Böhme, L. B. Fletcher, T. Gawne, F. R. Graziani, D. Kraus, M. J. MacDonald, Z. A. Moldabekov, S. Schwalbe, D. O. Gericke, and J. Vorberger, Unraveling electronic correlations in warm dense quantum plasmas, Nat. Commun. 16, 5103 (2025).
  88. V. S. Filinov, A. S. Larkin, and P. R. Levashov, Uniform electron gas at finite temperature by fermionic-path-integral Monte Carlo simulations, Phys. Rev. E 102, 033203 (2020).
  89. V. Filinov, P. Levashov, and A. Larkin, Density response and correlation functions in the wigner path integral representation. Monte Carlo simulations, Phys. Lett. A 548, 130542 (2025).
  90. Y. Xiong and H. Xiong, A Pseudo-Fermion propagator approach to the fermion sign problem, J. Chem. Phys. 163, 174107 (2025).
  91. T. Dornheim, P. Svensson, P. Hamann, S. Schwalbe, Z. Moldabekov, P. Tolias, and J. Vorberger, Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles, J. Chem. Phys. 163, 154101 (2025).
  92. Y. Xiong and H. Xiong, Thermodynamics of fermions at any temperature based on parametrized partition function, Phys. Rev. E 107, 055308 (2023).
  93. T. Dornheim, S. Schwalbe, Z. A. Moldabekov, J. Vorberger, and P. Tolias, Ab initio path integral Monte Carlo simulations of the uniform electron gas on large length scales, J. Phys. Chem. Lett. 15, 1305 (2024).
  94. T. Dornheim, S. Schwalbe, P. Tolias, M. P. Böhme, Z. A. Moldabekov, and J. Vorberger, Ab initio density response and local field factor of warm dense hydrogen, Matter Radiat. Extrem. 9, 057401 (2024).
  95. S. Schwalbe, H. Bellenbaum, T. Döppner, M. Böhme, T. Gawne, D. Kraus, M. J. MacDonald, Z. Moldabekov, P. Tolias, J. Vorberger, and T. Dornheim, Static linear density response from X-ray Thomson scattering measurements: a case study of warm dense beryllium, arXiv:2504.13611.
  96. T. Dornheim, Z. Moldabekov, S. Schwalbe, P. Tolias, and J. Vorberger, Fermionic free energies from ab initio path integral Monte Carlo simulations of fictitious identical particles, J. Chem. Theory Comput. 21, 7290 (2025).
  97. P. Svensson, F. Kalkavouras, U. Hernandez Acosta, Z. A. Moldabekov, P. Tolias, J. Vorberger, and T. Dornheim, Accelerated free energy estimation in ab initio path integral Monte Carlo simulations, J. Phys. Chem. Lett. 16, 10639 (2025).
  98. T. Morresi, G. Garberoglio, H. Xiong, and Y. Xiong, Study of the uniform electron gas through parametrized partition functions, Phys. Rev. B 112, 155131 (2025).
  99. T. Morresi and G. Garberoglio, Normal liquid He3 studied by path-integral Monte Carlo with a parametrized partition function, Phys. Rev. B 111, 014521 (2025).
  100. B. Yang, H. Yu, S. Liu, and F. Zhu, Density distribution of strongly quantum degenerate Fermi systems simulated by fictitious identical particle thermodynamics, Entropy 27, 458 (2025).
  101. T. Dornheim, H. M. Bellenbaum, M. Bethkenhagen, S. B. Hansen, M. P. Böhme, T. Döppner, L. B. Fletcher, T. Gawne, D. O. Gericke, S. Hamel, D. Kraus, M. J. MacDonald, Z. A. Moldabekov, T. R. Preston, R. Redmer, M. Schörner, S. Schwalbe, P. Tolias, and J. Vorberger, Model-free Rayleigh weight from X-ray Thomson scattering measurements, Phys. Plasmas 32, 052712 (2025).
  102. T. Dornheim, Z. A. Moldabekov, and J. Vorberger, Nonlinear density response from imaginary-time correlation functions: Ab initio path integral Monte Carlo simulations of the warm dense electron gas, J. Chem. Phys. 155, 054110 (2021).
  103. M. Boninsegni and D. M. Ceperley, Density fluctuations in liquid He4. Path integrals and maximum entropy, J. Low Temp. Phys. 104, 339 (1996).
  104. D. Thirumalai and B. J. Berne, On the calculation of time correlation functions in quantum systems: Path integral techniques, J. Chem. Phys. 79, 5029 (1983).
  105. T. Dornheim, Z. Moldabekov, P. Tolias, M. Böhme, and J. Vorberger, Physical insights from imaginary-time density–density correlation functions, Matter Radiat. Extremes 8, 056601 (2023).
  106. T. Dornheim, J. Vorberger, Z. A. Moldabekov, and M. Böhme, Analysing the dynamic structure of warm dense matter in the imaginary-time domain: theoretical models and simulations, Philos. Trans. R. Soc. A 381, 20220217 (2023).
  107. D. M. Ceperley, Fermion nodes, J. Stat. Phys. 63, 1237 (1991).
  108. T. Dornheim, S. Groth, and M. Bonitz, The uniform electron gas at warm dense matter conditions, Phys. Rep. 744, 1 (2018).
  109. P.-F. Loos and P. M. W. Gill, The uniform electron gas, Comput. Mol. Sci. 6, 410 (2016).
  110. G. Giuliani and G. Vignale, Quantum Theory of the Electron Liquid (Cambridge University Press, Cambridge, 2008).
  111. E. W. Brown, J. L. DuBois, M. Holzmann, and D. M. Ceperley, Exchange-correlation energy for the three-dimensional homogeneous electron gas at arbitrary temperature, Phys. Rev. B 88, 081102(R) (2013).
  112. V. V. Karasiev, T. Sjostrom, J. Dufty, and S. B. Trickey, Accurate homogeneous electron gas exchange-correlation free energy for local spin-density calculations, Phys. Rev. Lett. 112, 076403 (2014).
  113. V. V. Karasiev, S. B. Trickey, and J. W. Dufty, Status of free-energy representations for the homogeneous electron gas, Phys. Rev. B 99, 195134 (2019).
  114. T. Dornheim, S. Groth, T. Sjostrom, F. D. Malone, W. M. C. Foulkes, and M. Bonitz, Ab initio quantum Monte Carlo simulation of the warm dense electron gas in the thermodynamic limit, Phys. Rev. Lett. 117, 156403 (2016).
  115. S. Groth, T. Dornheim, T. Sjostrom, F. D. Malone, W. M. C. Foulkes, and M. Bonitz, Ab initio exchange–correlation free energy of the uniform electron gas at warm dense matter conditions, Phys. Rev. Lett. 119, 135001 (2017).
  116. P.-C. Hou, B.-Z. Wang, K. Haule, Y. Deng, and K. Chen, Exchange-correlation effect in the charge response of a warm dense electron gas, Phys. Rev. B 106, L081126 (2022).
  117. T. Dornheim, J. Vorberger, S. Groth, N. Hoffmann, Z. A. Moldabekov, and M. Bonitz, The static local field correction of the warm dense electron gas: An ab initio path integral Monte Carlo study and machine learning representation, J. Chem. Phys 151, 194104 (2019).
  118. T. Dornheim, J. Vorberger, and M. Bonitz, Nonlinear electronic density response in warm dense matter, Phys. Rev. Lett. 125, 085001 (2020).
  119. T. Dornheim, A. Cangi, K. Ramakrishna, M. Böhme, S. Tanaka, and J. Vorberger, Effective static approximation: A fast and reliable tool for warm-dense matter theory, Phys. Rev. Lett. 125, 235001 (2020).
  120. K. Hunger, T. Schoof, T. Dornheim, M. Bonitz, and A. Filinov, Momentum distribution function and short range correlations of the warm dense electron gas: Ab initio quantum Monte Carlo results, Phys. Rev. E 103, 053204 (2021).
  121. S. Tanaka, Correlational and thermodynamic properties of finite-temperature electron liquids in the hypernetted-chain approximation, J. Chem. Phys 145, 214104 (2016).
  122. S. Tanaka, Improved equation of state for finite-temperature spin-polarized electron liquids on the basis of Singwi–Tosi–Land–Sjölander approximation, Contrib. Plasma Phys. 57, 126 (2017).
  123. P. Arora, K. Kumar, and R. K. Moudgil, Spin-resolved correlations in the warm-dense homogeneous electron gas, Eur. Phys. J. B 90, 76 (2017).
  124. P. Tolias, F. L. Castello, and T. Dornheim, Integral equation theory based dielectric scheme for strongly coupled electron liquids, J. Chem. Phys. 155, 134115 (2021).
  125. P. Tolias, F. L. Castello, and T. Dornheim, Quantum version of the integral equation theory-based dielectric scheme for strongly coupled electron liquids, J. Chem. Phys. 158, 141102 (2023).
  126. T. Dornheim, P. Tolias, F. Kalkavouras, Z. A. Moldabekov, and J. Vorberger, Dynamic exchange correlation effects in the strongly coupled electron liquid, Phys. Rev. B 110, 075137 (2024).
  127. P. Tolias, F. Lucco Castello, F. Kalkavouras, and T. Dornheim, Revisiting the Vashishta-Singwi dielectric scheme for the warm dense uniform electron fluid, Phys. Rev. B 109, 125134 (2024).
  128. T. Sjostrom and J. Dufty, Uniform electron gas at finite temperatures, Phys. Rev. B 88, 115123 (2013).
  129. V. V. Karasiev, L. Calderin, and S. B. Trickey, Importance of finite-temperature exchange correlation for warm dense matter calculations, Phys. Rev. E 93, 063207 (2016).
  130. K. Ramakrishna, T. Dornheim, and J. Vorberger, Influence of finite temperature exchange-correlation effects in hydrogen, Phys. Rev. B 101, 195129 (2020).
  131. V. V. Karasiev, J. W. Dufty, and S. B. Trickey, Nonempirical semilocal free-energy density functional for matter under extreme conditions, Phys. Rev. Lett. 120, 076401 (2018).
  132. V. V. Karasiev, D. I. Mihaylov, and S. X. Hu, Meta-GGA exchange-correlation free energy density functional to increase the accuracy of warm dense matter simulations, Phys. Rev. B 105, L081109 (2022).
  133. Z. Moldabekov, J. Vorberger, and T. Dornheim, From density response to energy functionals and back: An ab initio perspective on matter under extreme conditions, Prog. Part. Nucl. Phys. 140, 104144 (2025).
  134. Z. Moldabekov, S. Schwalbe, M. P. Böhme, J. Vorberger, X. Shao, M. Pavanello, F. R. Graziani, and T. Dornheim, Bound-state breaking and the importance of thermal exchange–correlation effects in warm dense hydrogen, J. Chem. Theory Comput. 20, 68 (2024).
  135. T. Sjostrom and J. Daligault, Gradient corrections to the exchange-correlation free energy, Phys. Rev. B 90, 155109 (2014).
  136. M. Baus and J.-P. Hansen, Statistical mechanics of simple Coulomb systems, Phys. Rep. 59, 1 (1980).
  137. F. L. Castello and P. Tolias, Bridge functions of classical one-component plasmas, Phys. Rev. E 105, 015208 (2022).
  138. L. M. Fraser, W. M. C. Foulkes, G. Rajagopal, R. J. Needs, S. D. Kenny, and A. J. Williamson, Finite-size effects and Coulomb interactions in quantum Monte Carlo calculations for homogeneous systems with periodic boundary conditions, Phys. Rev. B 53, 1814 (1996).
  139. I. Fukuda and H. Nakamura, Non-Ewald methods: Theory and applications to molecular systems, Biophys. Rev. 4, 161 (2012).
  140. T. Dornheim, T. M. Chuna, H. M. Bellenbaum, Z. A. Moldabekov, P. Tolias, and J. Vorberger, Application of a spherically averaged pair potential in ab initio path integral Monte Carlo simulations of a warm dense electron gas, Phys. Rev. E 112, 035203 (2025).
  141. E. Yakub and C. Ronchi, A new method for computation of long ranged coulomb forces in computer simulation of disordered systems, J. Low Temp. Phys. 139, 633 (2005).
  142. E. Yakub and C. Ronchi, An efficient method for computation of long ranged Coulomb forces in computer simulation of ionic fluids, J. Chem. Phys. 119, 11556 (2003).
  143. A. V. Filinov and M. Bonitz, Equation of state of partially ionized hydrogen and deuterium plasma revisited, Phys. Rev. E 108, 055212 (2023).
  144. G. S. Demyanov and P. R. Levashov, Systematic derivation of angular-averaged Ewald potential, J. Phys. A: Math. Theor. 55, 385202 (2022).
  145. T. Dornheim, S. Groth, T. Schoof, C. Hann, and M. Bonitz, Ab initio quantum Monte Carlo simulations of the uniform electron gas without fixed nodes: The unpolarized case, Phys. Rev. B 93, 205134 (2016).
  146. T. Ott, H. Thomsen, J. W. Abraham, T. Dornheim, and M. Bonitz, Recent progress in the theory and simulation of strongly correlated plasmas: Phase transitions, transport, quantum, and magnetic field effects, Eur. Phys. J. D 72, 84 (2018).
  147. G. D. Mahan, Many-Particle Physics, Physics of Solids and Liquids (Springer, New York, USA, 1990).
  148. S. H. Vosko, L. Wilk, and M. Nusair, Accurate spin-dependent electron liquid correlation energies for local spin density calculations: a critical analysis, Can. J. Phys. 58, 1200 (1980).
  149. J. P. Perdew and Y. Wang, Accurate and simple analytic representation of the electron-gas correlation energy, Phys. Rev. B 45, 13244 (1992).
  150. J. P. Perdew and A. Zunger, Self-interaction correction to density-functional approximations for many-electron systems, Phys. Rev. B 23, 5048 (1981).
  151. M. Corradini, R. Del Sole, G. Onida, and M. Palummo, Analytical expressions for the local-field factor g(q) and the exchange-correlation kernel Kxc(r) of the homogeneous electron gas, Phys. Rev. B 57, 14569 (1998).
  152. K. Utsumi and S. Ichimaru, Dielectric formulation of strongly coupled electron liquids at metallic densities. VI. Analytic expression for the local-field correction, Phys. Rev. A 26, 603 (1982).
  153. B. Farid, V. Heine, G. E. Engel, and I. J. Robertson, Extremal properties of the Harris-Foulkes functional and an improved screening calculation for the electron gas, Phys. Rev. B 48, 11602 (1993).
  154. T. Dornheim, Z. A. Moldabekov, and P. Tolias, Analytical representation of the local field correction of the uniform electron gas within the effective static approximation, Phys. Rev. B 103, 165102 (2021).
  155. G. Ortiz and P. Ballone, Correlation energy, structure factor, radial distribution function, and momentum distribution of the spin-polarized uniform electron gas, Phys. Rev. B 50, 1391 (1994).
  156. G. Ortiz, M. Harris, and P. Ballone, Zero temperature phases of the electron gas, Phys. Rev. Lett. 82, 5317 (1999).
  157. G. G. Spink, R. J. Needs, and N. D. Drummond, Quantum Monte Carlo study of the three-dimensional spin-polarized homogeneous electron gas, Phys. Rev. B 88, 085121 (2013).
  158. S. Groth, T. Dornheim, and J. Vorberger, Ab initio path integral Monte Carlo approach to the static and dynamic density response of the uniform electron gas, Phys. Rev. B 99, 235122 (2019).
  159. S. Moroni, D. M. Ceperley, and G. Senatore, Static response from quantum Monte Carlo calculations, Phys. Rev. Lett. 69, 1837 (1992).
  160. S. Moroni, D. M. Ceperley, and G. Senatore, Static response and local field factor of the electron gas, Phys. Rev. Lett. 75, 689 (1995).
  161. R. O. Jones, Density functional theory: Its origins, rise to prominence, and future, Rev. Mod. Phys. 87, 897 (2015).
  162. T. Dornheim, T. Schoof, S. Groth, A. Filinov, and M. Bonitz, Permutation blocking path integral Monte Carlo approach to the uniform electron gas at finite temperature, J. Chem. Phys. 143, 204101 (2015).
  163. T. Dornheim, Z. A. Moldabekov, S. Schwalbe, and J. Vorberger, Direct free energy calculation from ab initio path integral Monte Carlo simulations of warm dense matter, Phys. Rev. B 111, L041114 (2025).
  164. T. Dornheim, P. Tolias, Z. A. Moldabekov, and J. Vorberger, η-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid, Phys. Rev. Res. 7, 023250 (2025).
  165. T. Dornheim, M. Bonitz, Z. A. Moldabekov, S. Schwalbe, P. Tolias, and J. Vorberger, Chemical potential of the warm dense electron gas from ab initio path integral Monte Carlo simulations, Phys. Rev. B 111, 115149 (2025).
  166. B. Militzer and E. L. Pollock, Lowering of the kinetic energy in interacting quantum systems, Phys. Rev. Lett. 89, 280401 (2002).
  167. T. Dornheim, M. Böhme, B. Militzer, and J. Vorberger, Ab initio path integral Monte Carlo approach to the momentum distribution of the uniform electron gas at finite temperature without fixed nodes, Phys. Rev. B 103, 205142 (2021).
  168. T. Dornheim, J. Vorberger, B. Militzer, and Z. A. Moldabekov, Momentum distribution of the uniform electron gas at finite temperature: Effects of spin polarization, Phys. Rev. E 104, 055206 (2021).
  169. T. Dornheim, T. Sjostrom, S. Tanaka, and J. Vorberger, Strongly coupled electron liquid: Ab initio path integral Monte Carlo simulations and dielectric theories, Phys. Rev. B 101, 045129 (2020).
  170. T. Dornheim, Z. A Moldabekov, J. Vorberger, and S. Groth, Ab initio path integral Monte Carlo simulation of the uniform electron gas in the high energy density regime, Plasma Phys. Controlled Fusion 62, 075003 (2020).
  171. T. Dornheim, J. Vorberger, Z. Moldabekov, G. Röpke, and W.-D. Kraeft, The uniform electron gas at high temperatures: Ab initio path integral Monte Carlo simulations and analytical theory, High Energy Density Phys. 45, 101015 (2022).
  172. T. Dornheim, S. Groth, J. Vorberger, and M. Bonitz, Permutation blocking path integral Monte Carlo approach to the static density response of the warm dense electron gas, Phys. Rev. E 96, 023203 (2017).
  173. S. Groth, T. Dornheim, and M. Bonitz, Configuration path integral Monte Carlo approach to the static density response of the warm dense electron gas, J. Chem. Phys 147, 164108 (2017).
  174. T. Dornheim, M. Böhme, Z. A. Moldabekov, J. Vorberger, and M. Bonitz, Density response of the warm dense electron gas beyond linear response theory: Excitation of harmonics, Phys. Rev. Res. 3, 033231 (2021).
  175. T. Dornheim, J. Vorberger, and Z. A. Moldabekov, Nonlinear density response and higher order correlation functions in warm dense matter, J. Phys. Soc. Jpn. 90, 104002 (2021).
  176. T. Dornheim, Z. A. Moldabekov, and J. Vorberger, Nonlinear electronic density response of the ferromagnetic uniform electron gas at warm dense matter conditions, Contrib. Plasma Phys. 61, e202100098 (2021).
  177. T. Dornheim, J. Vorberger, Z. A. Moldabekov, and M. Bonitz, Nonlinear interaction of external perturbations in warm dense matter, Contrib. Plasma Phys. 62, e202100247 (2022).
  178. P. Tolias, T. Dornheim, Z. A. Moldabekov, and J. Vorberger, Unravelling the nonlinear ideal density response of many-body systems, Europhys. Lett. 142, 44001 (2023).
  179. T. Dornheim and J. Vorberger, Finite-size effects in the reconstruction of dynamic properties from ab initio path integral Monte Carlo simulations, Phys. Rev. E 102, 063301 (2020).
  180. T. Chuna, N. Barnfield, J. Vorberger, M. P. Friedlander, T. Hoheisel, and T. Dornheim, Estimates of the dynamic structure factor for the finite temperature electron liquid via analytic continuation of path integral Monte Carlo data, Phys. Rev. B 112, 125112 (2025).
  181. A. B. Robles, P.-A. Hofmann, T. Chuna, T. Dornheim, and M. Hecht, PyLIT: Reformulation and implementation of the analytic continuation problem using kernel representation methods, Comput. Phys. Commun. 319, 109904 (2026).
  182. P. Hamann, J. Vorberger, T. Dornheim, Z. A. Moldabekov, and M. Bonitz, Ab initio results for the plasmon dispersion and damping of the warm dense electron gas, Contrib. Plasma Phys. 60, e202000147 (2020).
  183. P. Hamann, T. Dornheim, J. Vorberger, Z. A. Moldabekov, and M. Bonitz, Dynamic properties of the warm dense electron gas based on abinitio path integral Monte Carlo simulations, Phys. Rev. B 102, 125150 (2020).
  184. P. Marienhagen and K. Meier, Calculation of thermodynamic properties using path integral Monte Carlo simulations in the canonical ensemble, J. Chem. Phys. 163, 074116 (2025).
  185. F. Mezzacapo and M. Boninsegni, Structure, superfluidity, and quantum melting of hydrogen clusters, Phys. Rev. A 75, 033201 (2007).
  186. B. Hirshberg, V. Rizzi, and M. Parrinello, Path integral molecular dynamics for bosons, Proc. Natl. Acad. Sci. USA 116, 21445 (2019).
  187. T. M. Apostol, Calculus Volume I (John Wiley & Sons, New York, USA, 1967).
  188. L. Comtet, Advanced Combinatorics (D. Reidel Publishing Company, Dordrecht, Holland, 1967).
  189. T. Dornheim, S. Groth, A. V. Filinov, and M. Bonitz, Path integral Monte Carlo simulation of degenerate electrons: Permutation-cycle properties, J. Chem. Phys. 151, 014108 (2019).
  190. J. L. DuBois, E. W. Brown, and B. J. Alder, Overcoming the fermion sign problem in homogeneous systems, in Advances in the Computational Sciences, edited by E. Schwegler, B. M. Rubenstein, and S. B. Libby (World Scientific Publishing, Singapore, 2017), Chap. 13, pp. 184–192.
  191. A. P. Lyubartsev and P. N. Vorontsov-Velyaminov, Path-integral Monte Carlo method in quantum statistics for a system of n identical fermions, Phys. Rev. A 48, 4075 (1993).
  192. T. Dornheim, M. Böhme, and S. Schwalbe, ISHTAR: Imaginary-time stochastic high-performance tool for ab initio research, Zenodo (2024), doi: 10.5281/zenodo.10497098.
  193. The PIMC raw data are freely available at: https://doi.org/10.14278/rodare.4563.
  194. K. Hunger, A. Yilmaz, and P. Hamann, CPIMC.jl—Implementation of Configuration path-integral Monte Carlo (CPIMC) in Julia, available at: https://github.com/CPIMC/CPIMC.jl/.
  195. T. Döppner, et al., Observing the onset of pressure-driven k-shell delocalization, Nature (London) 618, 270 (2023).
  196. E. I. Moses, R. N. Boyd, B. A. Remington, C. J. Keane, and R. Al-Ayat, The national ignition facility: Ushering in a new age for high energy density science, Phys. Plasmas 16, 041006 (2009).
  197. N. Hatano, Data analysis for quantum Monte Carlo simulations with the negative-sign problem, J. Phys. Soc. Jpn. 63, 1691 (1994).
  198. B. A. Berg, Markov Chain Monte Carlo Simulations and their Statistical Analysis: with Web-Based Fortran Code (World Scientific Publishing Company, Singapore, 2004).
  199. W. Janke and T. Sauer, Optimal energy estimation in path-integral Monte Carlo simulations, J. Chem. Phys. 107, 5821 (1997).
  200. R.-C. He, J.-X. Zeng, S. Yang, C. Wang, Q.-J. Ye, and X.-Z. Li, Revisiting the fermion sign problem from the structure of Lee-Yang zeros. I. The form of partition function for indistinguishable particles and its zeros at 0 K, Phys. Rev. E 113, 024115 (2026).
  201. W. Krauth, Statistical Mechanics: Algorithms and Computations, Oxford Master Series in Physics (Oxford University Press, Oxford, UK, 2006).
  202. Y. Takada, Emergence of an excitonic collective mode in the dilute electron gas, Phys. Rev. B 94, 245106 (2016).
  203. L. B. Fletcher, et al., Electron-ion temperature relaxation in warm dense hydrogen observed with picosecond resolved x-ray scattering, Front. Phys. 10, 838524 (2022).
  204. U. Zastrau, et al., Resolving ultrafast heating of dense cryogenic hydrogen, Phys. Rev. Lett. 112, 105002 (2014).
  205. Y. Kwon, F. Paesani, and K. B. Whaley, Local superfluidity in inhomogeneous quantum fluids, Phys. Rev. B 74, 174522 (2006).
  206. T. Dornheim, Path-integral Monte Carlo simulations of quantum dipole systems in traps: Superfluidity, quantum statistics, and structural properties, Phys. Rev. A 102, 023307 (2020).
  207. T. Dornheim and Y. Yan, Abnormal quantum moment of inertia and structural properties of electrons in 2D and 3D quantum dots: an ab initio path-integral Monte Carlo study, New J. Phys. 24, 113024 (2022).
  208. Y. Yan and D. Blume, Abnormal superfluid fraction of harmonically trapped few-fermion systems, Phys. Rev. Lett. 112, 235301 (2014).
  209. B. Militzer, F. González-Cataldo, S. Zhang, K. P. Driver, and F. Soubiran, First-principles equation of state database for warm dense matter computation, Phys. Rev. E 103, 013203 (2021).
  210. S. Chiesa, D. M. Ceperley, R. M. Martin, and M. Holzmann, Finite-size error in many-body simulations with long range interactions, Phys. Rev. Lett. 97, 076404 (2006).
  211. N. D. Drummond, R. J. Needs, A. Sorouri, and W. M. C. Foulkes, Finite-size errors in continuum quantum Monte Carlo calculations, Phys. Rev. B 78, 125106 (2008).
  212. M. Holzmann, R. C. Clay, M. A. Morales, N. M. Tubman, D. M. Ceperley, and C. Pierleoni, Theory of finite size effects for electronic quantum Monte Carlo calculations of liquids and solids, Phys. Rev. B 94, 035126 (2016).
  213. T. Dornheim and J. Vorberger, Overcoming finite-size effects in electronic structure simulations at extreme conditions, J. Chem. Phys. 154, 144103 (2021).
  214. M. Böhme, Z. A. Moldabekov, J. Vorberger, and T. Dornheim, Static electronic density response of warm dense hydrogen: Ab initio path integral Monte Carlo simulations, Phys. Rev. Lett. 129, 066402 (2022).
  215. M. Böhme, Z. A. Moldabekov, J. Vorberger, and T. Dornheim, Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions, Phys. Rev. E 107, 015206 (2023).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation