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Improving the efficiency of finite-time memory erasure with potential barrier shaping

Vipul Rai1,* and Moupriya Das2,†

  • *Contact author: d23176@students.iitmandi.ac.in
  • †Contact author: moupriya@iitmandi.ac.in

Phys. Rev. Research 8, 023031 – Published 8 April, 2026

DOI: https://doi.org/10.1103/kwg2-b74f

Abstract

Erasure of the binary memory, 0 or 1, is an essential step for digital computation as it involves irreversible logic operations. In the classical case, the erasure of a bit of memory is accompanied by the evolution of a minimum amount of heat set by the Landauer bound kBTln2, which can be achieved in the asymptotic limit. However, the erasure of memory needs to be completed within a finite time for practical and effective computational processes. It is observed that the higher the speed of erasure, the greater the amount of heat released, which leads to unfavorable environmental conditions. Therefore, this is a fundamental challenge to reduce the evolved heat related to finite-time memory erasure. In the present work, we address this crucial aspect in the field of information thermodynamics. We proceed by considering the physical model framework where the two memory states correspond to the two wells of a bistable potential, as in the conventional cases. However, the potential is asymmetric in terms of the width of the two wells. Moreover, the two memory states are separated by a barrier that is asymmetric in structure. This type of asymmetry models the two binary memory states that occupy different phase-space volumes, although they are energetically equivalent, in a general setup. We examine in detail the effect of the degree of asymmetry on the success rate of the erasure process and the work done or heat released associated with it. We find that the asymmetry in the width of the potential wells and the barrier partitioning them, i.e., the two memory states, plays a very significant role in improving the efficiency of the erasure process, in view of the success rate and the thermodynamic costs. Our thorough simulation study establishes the fact that one can reach below the Landauer bound in an appropriate asymmetric setup. Importantly, it develops a quantitative understanding of the deviation from the Landauer limit as a function of the degree of asymmetry of the potential governing the erasure mechanism. Moreover, through our current work, we identify the effective free energy change for the finite-time bit erasure process as a general lower bound for the work done or evolved heat even when the departure from the Landauer limit is observed. We retrieve the approach toward the Landauer limit in terms of the energetics involved with the erasure mechanism under the symmetric setup.

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References (83)

  1. K. Murali, S. Sinha, W. L. Ditto, and A. R. Bulsara, Reliable logic circuit elements that exploit nonlinearity in the presence of a noise floor, Phys. Rev. Lett. 102, 104101 (2009).
  2. N. Takeuchi and N. Yoshikawa, Minimum energy dissipation required for a logically irreversible operation, Phys. Rev. E 97, 012124 (2018).
  3. C. E. Shannon, A mathematical theory of communication, Bell Syst. Tech. J. 27, 379 (1948).
  4. G. Manzano, G. Kardeş, E. Roldán, and D. H. Wolpert, Thermodynamics of computations with absolute irreversibility, unidirectional transitions, and stochastic computation times, Phys. Rev. X 14, 021026 (2024).
  5. R. Landauer, Irreversibility and heat generation in the computing process, IBM J. Res. Dev. 5, 183 (1961).
  6. R. Landauer, Dissipation and noise immunity in computation and communication, Nature (London) 335, 779 (1988).
  7. C. H. Bennett, Logical reversibility of computation, IBM J. Res. Dev. 17, 525 (1973).
  8. C. H. Bennett, The thermodynamics of computation—A review, Int. J. Theor. Phys. 21, 905 (1982).
  9. D. Mandal and C. Jarzynski, Work and information processing in a solvable model of Maxwell's demon, Proc. Natl. Acad. Sci. USA 109, 11641 (2012).
  10. B. Piechocinska, Information erasure, Phys. Rev. A 61, 062314 (2000).
  11. P. Chattopadhyay, A. Misra, T. Pandit, and G. Paul, Landauer principle and thermodynamics of computation, Rep. Prog. Phys. 88, 086001 (2025).
  12. A. M. Timpanaro, J. P. Santos, and G. T. Landi, Landauer's principle at zero temperature, Phys. Rev. Lett. 124, 240601 (2020).
  13. A. D. O. Junior, J. B. Brask, and R. Chaves, A friendly guide to exorcising Maxwell's demon, PRX Quantum 6, 030201 (2025).
  14. J. Sanders, M. Baldovin, and P. Muratore-Ginanneschi, Minimal work protocols for inertial particles in nonharmonic traps, Phys. Rev. E 111, 034127 (2025).
  15. R. Dillenschneider and E. Lutz, Memory erasure in small systems, Phys. Rev. Lett. 102, 210601 (2009).
  16. A. Bérut, A. Arakelyan, A. Petrosyan, S. Ciliberto, R. Dillenschneider, and E. Lutz, Experimental verification of Landauer's principle linking information and thermodynamics, Nature (London) 483, 187 (2012).
  17. J. Klaers, Landauer's erasure principle in a squeezed thermal memory, Phys. Rev. Lett. 122, 040602 (2019).
  18. J. S. Lee, S. Lee, H. Kwon, and H. Park, Speed limit for a highly irreversible process and tight finite-time Landauer's bound, Phys. Rev. Lett. 129, 120603 (2022).
  19. K. Proesmans, J. Ehrich, and J. Bechhoefer, Finite-time Landauer principle, Phys. Rev. Lett. 125, 100602 (2020).
  20. K. Proesmans, J. Ehrich, and J. Bechhoefer, Optimal finite-time bit erasure under full control, Phys. Rev. E 102, 032105 (2020).
  21. S. Dago and L. Bellon, Dynamics of information erasure and extension of Landauer's bound to fast processes, Phys. Rev. Lett. 128, 070604 (2022).
  22. K. Maruyama, F. Nori, and V. Vedral, Colloquium: The physics of Maxwell's demon and information, Rev. Mod. Phys. 81, 1 (2009).
  23. J. Hong, B. Lambson, S. Dhuey, and J. Bokor, Experimental test of Landauer's principle in single-bit operations on nanomagnetic memory bits, Sci. Adv. 2, e1501492 (2016).
  24. R. Nagase and T. Sagawa, Thermodynamically optimal information gain in finite-time measurement, Phys. Rev. Res. 6, 033239 (2024).
  25. C.-Y. Hsieh, Dynamical Landauer principle: Quantifying information transmission by thermodynamics, Phys. Rev. Lett. 134, 050404 (2025).
  26. J. M. Parrondo, J. M. Horowitz, and T. Sagawa, Thermodynamics of information, Nat. Phys. 11, 131 (2015).
  27. J. M. Horowitz and M. Esposito, Thermodynamics with continuous information flow, Phys. Rev. X 4, 031015 (2014).
  28. S. Ito, Stochastic thermodynamic interpretation of information geometry, Phys. Rev. Lett. 121, 030605 (2018).
  29. J. Goold, M. Huber, A. Riera, L. D. Rio, and P. Skrzypczyk, The role of quantum information in thermodynamics—A topical review, J. Phys. A: Math. Theor. 49, 143001 (2016).
  30. S. Ciliberto, Experiments in stochastic thermodynamics: Short history and perspectives, Phys. Rev. X 7, 021051 (2017).
  31. L. Martini, M. Pancaldi, M. Madami, P. Vavassori, G. Gubbiotti, S. Tacchi, F. Hartmann, M. Emmerling, S. Höfling, L. Worschech, and G. Carlotti, Experimental and theoretical analysis of Landauer erasure in nano-magnetic switches of different sizes, Nano Energy 19, 108 (2016).
  32. D. H. Wolpert, J. Korbel, C. W. Lynn, F. Tasnim, J. A. Grochow, G. Kardeş, J. B. Aimone, V. Balasubramanian, E. De Giuli, D. Doty, et al., Is stochastic thermodynamics the key to understanding the energy costs of computation? Proc. Natl. Acad. Sci. USA 121, e2321112121 (2024).
  33. D. Reguera and J. M. Rubí, Kinetic equations for diffusion in the presence of entropic barriers, Phys. Rev. E 64, 061106 (2001).
  34. D. Mondal and D. S. Ray, Diffusion over an entropic barrier: Non-Arrhenius behavior, Phys. Rev. E 82, 032103 (2010).
  35. N. Barros, S. Whitelam, S. Ciliberto, and L. Bellon, Learning efficient erasure protocols for an underdamped memory, Phys. Rev. E 111, 044114 (2025).
  36. N. Shiraishi, K. Funo, and K. Saito, Speed limit for classical stochastic processes, Phys. Rev. Lett. 121, 070601 (2018).
  37. H. J. D. Miller, G. Guarnieri, M. T. Mitchison, and J. Goold, Quantum fluctuations hinder finite-time information erasure near the Landauer limit, Phys. Rev. Lett. 125, 160602 (2020).
  38. É. Roldán, I. A. Martinez, J. M. Parrondo, and D. Petrov, Universal features in the energetics of symmetry breaking, Nat. Phys. 10, 457 (2014).
  39. M. Gopalkrishnan, A cost/speed/reliability tradeoff to erasing, Entropy 18, 165 (2016).
  40. T. Van Vu and K. Saito, Finite-time quantum Landauer principle and quantum coherence, Phys. Rev. Lett. 128, 010602 (2022).
  41. Y.-Z. Zhen, D. Egloff, K. Modi, and O. Dahlsten, Universal bound on energy cost of bit reset in finite time, Phys. Rev. Lett. 127, 190602 (2021).
  42. M. Konopik, T. Korten, E. Lutz, and H. Linke, Fundamental energy cost of finite-time parallelizable computing, Nat. Commun. 14, 447 (2023).
  43. T. Kamijima, K. Funo, and T. Sagawa, Finite-time thermodynamic bounds and trade-off relations for information processing, Phys. Rev. Res. 7, 013329 (2025).
  44. S. Dago, J. Pereda, S. Ciliberto, and L. Bellon, Virtual double-well potential for an underdamped oscillator created by a feedback loop, J. Stat. Mech. (2022) 053209.
  45. E. Aurell, K. Gawędzki, C. Mejía-Monasterio, R. Mohayaee, and P. Muratore-Ginanneschi, Refined second law of thermodynamics for fast random processes, J. Stat. Phys. 147, 487 (2012).
  46. S. Talukdar, S. Bhaban, and M. V. Salapaka, Memory erasure using time-multiplexed potentials, Phys. Rev. E 95, 062121 (2017).
  47. M. Konopik, A. Friedenberger, N. Kiesel, and E. Lutz, Nonequilibrium information erasure below kTln2, Europhys. Lett. 131, 60004 (2020).
  48. M. A. Ciampini, T. Wenzl, M. Konopik, G. Thalhammer, M. Aspelmeyer, E. Lutz, and N. Kiesel, Experimental nonequilibrium memory erasure beyond Landauer's bound, Phys. Rev. Res. 7, 043321 (2025).
  49. L. Buffoni, F. Coghi, and S. Gherardini, Generalized Landauer bound from absolute irreversibility, Phys. Rev. E 109, 024138 (2024).
  50. O.-P. Saira, M. H. Matheny, R. Katti, W. Fon, G. Wimsatt, J. P. Crutchfield, S. Han, and M. L. Roukes, Nonequilibrium thermodynamics of erasure with superconducting flux logic, Phys. Rev. Res. 2, 013249 (2020).
  51. T. Sagawa and M. Ueda, Minimal energy cost for thermodynamic information processing: Measurement and information erasure, Phys. Rev. Lett. 102, 250602 (2009).
  52. M. Esposito and C. Van den Broeck, Second law and Landauer principle far from equilibrium, Europhys. Lett. 95, 40004 (2011).
  53. M. Innerbichler and C. Dellago, Enhancing transport by shaping barriers, Proc. Natl. Acad. Sci. USA 117, 2238 (2020).
  54. M. Gavrilov and J. Bechhoefer, Erasure without work in an asymmetric double-well potential, Phys. Rev. Lett. 117, 200601 (2016).
  55. E. Aurell, C. Mejía-Monasterio, and P. Muratore-Ginanneschi, Optimal protocols and optimal transport in stochastic thermodynamics, Phys. Rev. Lett. 106, 250601 (2011).
  56. P. R. Zulkowski and M. R. DeWeese, Optimal finite-time erasure of a classical bit, Phys. Rev. E 89, 052140 (2014).
  57. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in FORTRAN 77: The Art of Scientific Computing, 2nd. ed (Cambridge University Press, Cambridge, UK, 1992).
  58. Y. Jun, M. C. V. Gavrilov, and J. Bechhoefer, High-precision test of Landauer's principle in a feedback trap, Phys. Rev. Lett. 113, 190601 (2014).
  59. Y. Jun and P.-Y. Lai, Minimal dissipation protocols of an instantaneous equilibrium Brownian particle under time-dependent temperature and potential variations, Phys. Rev. Res. 4, 023157 (2022).
  60. K. Sekimoto, Langevin equation and thermodynamics, Prog. Theor. Phys. Suppl. 130, 17 (1998).
  61. U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75, 126001 (2012).
  62. L. T. Giorgini, R. Eichhorn, M. Das, W. Moon, and J. S. Wettlaufer, Thermodynamic cost of erasing information in finite time, Phys. Rev. Res. 5, 023084 (2023).
  63. A. Gomez-Marin, T. Schmiedl, and U. Seifert, Optimal protocols for minimal work processes in underdamped stochastic thermodynamics, J. Chem. Phys. 129, 024114 (2008).
  64. L. Peliti and S. Pigolotti, Stochastic Thermodynamics: An Introduction (Princeton University Press, Princeton, NJ, 2021).
  65. L. Granger and H. Kantz, Thermodynamic cost of measurements, Phys. Rev. E 84, 061110 (2011).
  66. S. Toyabe, T. Sagawa, M. Ueda, E. Muneyuki, and M. Sano, Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality, Nat. Phys. 6, 988 (2010).
  67. H.-H. Hasegawa, J. Ishikawa, K. Takara, and D. Driebe, Generalization of the second law for a nonequilibrium initial state, Phys. Lett. A 374, 1001 (2010).
  68. Y. Murashita, K. Funo, and M. Ueda, Nonequilibrium equalities in absolutely irreversible processes, Phys. Rev. E 90, 042110 (2014).
  69. K. S. Olsen, D. Gupta, F. Mori, and S. Krishnamurthy, Thermodynamic cost of finite-time stochastic resetting, Phys. Rev. Res. 6, 033343 (2024).
  70. G. Falasco and M. Esposito, Macroscopic stochastic thermodynamics, Rev. Mod. Phys. 97, 015002 (2025).
  71. A. Bérut, A. Petrosyan, and S. Ciliberto, Detailed Jarzynski equality applied to a logically irreversible procedure, Europhys. Lett. 103, 60002 (2013).
  72. M. Das, Capturing the Landauer bound through the application of a detailed Jarzynski equality for entropic memory erasure, Phys. Rev. E 90, 062120 (2014).
  73. M. Das, Entropic memory erasure, Phys. Rev. E 89, 032130 (2014).
  74. C. Jarzynski, Nonequilibrium equality for free energy differences, Phys. Rev. Lett. 78, 2690 (1997).
  75. C. Jarzynski, Equilibrium free-energy differences from nonequilibrium measurements: A master-equation approach, Phys. Rev. E 56, 5018 (1997).
  76. C. Jarzynski, Nonequilibrium work theorem for a system strongly coupled to a thermal environment, J. Stat. Mech. (2004) P09005.
  77. T. Sagawa and M. Ueda, Generalized Jarzynski equality under nonequilibrium feedback control, Phys. Rev. Lett. 104, 090602 (2010).
  78. L. Buffoni and M. Campisi, Spontaneous fluctuation-symmetry breaking and the Landauer principle, J. Stat. Phys. 186, 31 (2022).
  79. L. A. Williamson, Modified Jarzynski equality in a microcanonical ensemble, Phys. Rev. E 111, L012102 (2025).
  80. R. Kawai, J. M. R. Parrondo, and C. V. den Broeck, Dissipation: The phase-space perspective, Phys. Rev. Lett. 98, 080602 (2007).
  81. S. Vaikuntanathan and C. Jarzynski, Dissipation and lag in irreversible processes, Europhys. Lett. 87, 60005 (2009).
  82. M. Chupeau, J. Gladrow, A. Chepelianskii, U. F. Keyser, and E. Trizac, Optimizing Brownian escape rates by potential shaping, Proc. Natl. Acad. Sci. USA 117, 1383 (2020).
  83. S. Talukdar, S. Bhaban, J. Melbourne, and M. V. Salapaka, Designing memory bits with dissipation lower than the Landauer's bound, arXiv:1802.01511.

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