- Open Access
Join gate with memory in token-conserving Brownian circuits and the thermodynamic cost
Phys. Rev. E 113, 024129 – Published 19 February, 2026
DOI: https://doi.org/10.1103/pmx1-rz3n
Abstract
The token-based Brownian circuit harnesses the Brownian motion of particles for computation. The conservative join (CJoin) is a circuit element that synchronizes two Brownian particles, and its realization using repelling particles, such as magnetic skyrmions or electrons, is key to building the Brownian circuit. Here, a theoretical implementation of the CJoin using a simple quantum dot circuit is proposed, incorporating an internal state, a double quantum dot that functions as a one-bit memory, storing the direction of two-particle transfer. A periodic reset protocol is introduced, allowing the CJoin to emit particles in a specific direction. The stochastic thermodynamics under periodic resets identifies the thermodynamic cost as the work done for resets minus the entropy reduction due to resets, with its lower bound remaining within a few multiples of at temperature . Applying the speed limit relation to a subsystem in bipartite dynamics, the number of emitted particles is shown to be relatively tightly bounded from above by an expression involving the subsystem's irreversible entropy production rate and dynamical activity rate.
Physics Subject Headings (PhySH)
Article Text
Supplemental Material
References (48)
- C. H. Bennett, The thermodynamics of computation—a review, Int. J. Theor. Phys. 21, 905 (1982).
- F. Peper, J. Lee, J. Carmona, J. Cortadella, and K. Morita, Brownian circuits: Fundamentals, J. Emerg. Technol. Comput. Syst. 9, 1 (2013).
- J. Lee, F. Peper, S. Cotofana, M. Naruse, M. Ohtsu, T. Kawazoe, Y. Takahashi, T. Shimokawa, L. B. Kish, and T. Kubota, Brownian circuits: Designs, Int. J. Unconv. Comput. 12, 341 (2016).
- P. Patra, Approaches to design of circuits for low-power computation, Ph.D. thesis, The University of Texas at Austin, 1995.
- J. Lee, S. Adachi, and F. Peper, A partitioned cellular automaton approach for efficient implementation of asynchronous circuits, Comput. J. 54, 1211 (2011).
- Y. Utsumi, D. Golubev, and F. Peper, Thermodynamic cost of Brownian computers in the stochastic thermodynamics of resetting, Eur. Phys. J.: Spec. Top. 232, 3259 (2023).
- Y. Utsumi, Y. Ito, D. Golubev, and F. Peper, Computation time and thermodynamic uncertainty relation of Brownian circuits, arXiv:2205.10735.
- I. Agbo, S. Safiruddin, and S. Cotofana, Implementable building blocks for fluctuation based calculation in single electron tunneling technology, in 2009 9th IEEE Conference on Nanotechnology (IEEE-NANO), Genoa, Italy (IEEE, 2009), pp. 366–369.
- I. Ercan, Z. D. Sötgöl, and F. O. Özhan, Physical limitations on fundamental efficiency of SET-based Brownian circuits, Entropy 23, 406 (2021).
- Y. Jibiki, M. Goto, E. Tamura, J. Cho, S. Miki, R. Ishikawa, H. Nomura, T. Srivastava, W. Lim, S. Auffret, C. Baraduc, H. Bea, and Y. Suzuki, Skyrmion Brownian circuit implemented in continuous ferromagnetic thin film, Appl. Phys. Lett. 117, 082402 (2020).
- R. Ishikawa, M. Goto, H. Nomura, and Y. Suzuki, Implementation of skyrmion cellular automaton using Brownian motion and magnetic dipole interaction, Appl. Phys. Lett. 119, 072402 (2021).
- H. Imanishi, E. Tamura, S. Miki, R. Ishikawa, H. Nomura, M. Goto, and Y. Suzuki, Simulation study on conservative join (C-join) in skyrmion Brownian circuit, arXiv:2502.05700.
- J. C. B. Souza, N. P. Vizarim, C. J. O. Reichhardt, C. Reichhardt, and P. A. Venegas, Controlled skyrmion ratchet in linear protrusion defects, Phys. Rev. B 109, 054407 (2024).
- S. Yu, J. Lee, and T. Isokawa, Universality of a surface chemical reaction network using only bi-molecular reactions, J. Membr. Comput. 6, 169 (2024).
- J. M. R. Parrondo, J. M. Horowitz, and T. Sagawa, Thermodynamics of information, Nat. Phys. 11, 131 (2015).
- N. Shiraishi, K. Saito, and H. Tasaki, Universal trade-off relation between power and efficiency for heat engines, Phys. Rev. Lett. 117, 190601 (2016).
- U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75, 126001 (2012).
- N. Shiraishi, Thermodynamic uncertainty relation, in An Introduction to Stochastic Thermodynamics: From Basic to Advanced (Springer Nature Singapore, Singapore, 2023), pp. 329–362.
- D. H. Wolpert, J. Korbel, C. W. Lynn, F. Tasnim, J. A. Grochow, G. Kardeş, J. B. Aimone, V. Balasubramanian, E. D. Giuli, D. Doty, N. Freitas, M. Marsili, T. E. Ouldridge, A. W. Richa, P. Riechers, É. Roldán, B. Rubenstein, Z. Toroczkai, and J. Paradiso, Is stochastic thermodynamics the key to understanding the energy costs of computation? Proc. Natl. Acad. Sci. USA 121, e2321112121 (2024).
- 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).
- P. Strasberg, J. Cerrillo, G. Schaller, and T. Brandes, Thermodynamics of stochastic Turing machines, Phys. Rev. E 92, 042104 (2015).
- N. Freitas, J.-C. Delvenne, and M. Esposito, Stochastic thermodynamics of nonlinear electronic circuits: A realistic framework for computing around , Phys. Rev. X 11, 031064 (2021).
- D. Yoshino and Y. Tokura, Thermodynamics of computation for CMOS NAND gate, J. Phys. Soc. Jpn. 92, 124004 (2023).
- J. Monsel, M. Acciai, R. Sánchez, and J. Splettstoesser, Autonomous demon exploiting heat and information at the trajectory level, Phys. Rev. B 111, 045419 (2025).
- J. V. Koski, A. Kutvonen, I. M. Khaymovich, T. Ala-Nissila, and J. P. Pekola, On-chip Maxwell's demon as an information-powered refrigerator, Phys. Rev. Lett. 115, 260602 (2015).
- G. Manzano, D. Subero, O. Maillet, R. Fazio, J. P. Pekola, and E. Roldán, Thermodynamics of gambling demons, Phys. Rev. Lett. 126, 080603 (2021).
- K. Takahashi and Y. Utsumi, Generalized speed limits for classical stochastic systems and their applications to relaxation, annealing, and pumping processes, Phys. Rev. Res. 5, 013217 (2023).
- D. A. Bagrets and Y. V. Nazarov, Full counting statistics of charge transfer in Coulomb blockade systems, Phys. Rev. B 67, 085316 (2003).
- J. M. Horowitz and M. Esposito, Thermodynamics with continuous information flow, Phys. Rev. X 4, 031015 (2014).
- J. Fuchs, S. Goldt, and U. Seifert, Stochastic thermodynamics of resetting, Europhys. Lett. 113, 60009 (2016).
- N. Shiraishi and T. Sagawa, Fluctuation theorem for partially masked nonequilibrium dynamics, Phys. Rev. E 91, 012130 (2015).
- T. Van Vu and K. Saito, Thermodynamic unification of optimal transport: Thermodynamic uncertainty relation, minimum dissipation, and thermodynamic speed limits, Phys. Rev. X 13, 011013 (2023).
- See Supplemental Material at http://link.aps.org/supplemental/10.1103/pmx1-rz3n for a detailed analysis on the reduction from CJoin with memory to the Join and the detailed calculation of the interskyrmion distance dependence of the magnetostatic energy for single-layer and bilayer structures (2026).
- J. P. Pekola, Towards quantum thermodynamics in electronic circuits, Nat. Phys. 11, 118 (2015).
- K. Chida, S. Desai, K. Nishiguchi, and A. Fujiwara, Power generator driven by Maxwell's demon, Nat. Commun. 8, 15301 (2017).
- R. Garreis, J. D. Gerber, V. Stará, C. Tong, C. Gold, M. Röösli, K. Watanabe, T. Taniguchi, K. Ensslin, T. Ihn, and A. Kurzmann, Counting statistics of single electron transport in bilayer graphene quantum dots, Phys. Rev. Res. 5, 013042 (2023).
- A. Samanta, M. Muruganathan, M. Hori, Y. Ono, H. Mizuta, M. Tabe, and D. Moraru, Single-electron quantization at room temperature in a-few-donor quantum dot in silicon nano-transistors, Appl. Phys. Lett. 110, 093107 (2017).
- S. Lee, Y. Lee, E. B. Song, and T. Hiramoto, Observation of single electron transport via multiple quantum states of a silicon quantum dot at room temperature, Nano Lett. 14, 71 (2014).
- K. Nishiguchi and A. Fujiwara, Single-electron counting statistics and its circuit application in nanoscale field-effect transistors at room temperature, Nanotechnology 20, 175201 (2009).
- S. Miki, Y. Jibiki, E. Tamura, M. Goto, M. Oogane, J. Cho, R. Ishikawa, H. Nomura, and Y. Suzuki, Brownian motion of magnetic skyrmions in one- and two-dimensional systems, J. Phys. Soc. Jpn. 90, 083601 (2021).
- Z. Qin, Y. Wang, S. Zhu, C. Jin, J. Fu, Q. Liu, and J. Cao, Stabilization and reversal of skyrmion lattice in Ta/CoFeB/MgO multilayers, ACS Appl. Mater. Interfaces 10, 36556 (2018).
- H. Imanishi, E. Tamura, S. Miki, R. Ishikawa, H. Nomura, M. Goto, and Y. Suzuki, Simulation study on conservative join (C-join) in skyrmion Brownian circuit, arXiv:2502.05700.
- A. Yacoby, M. Heiblum, D. Mahalu, and H. Shtrikman, Coherence and phase sensitive measurements in a quantum dot, Phys. Rev. Lett. 74, 4047 (1995).
- S. Nakajima and Y. Utsumi, Asymptotic expansion of the solution of the master equation and its application to the speed limit, Phys. Rev. E 104, 054139 (2021).
- U. Seifert, First and second law of thermodynamics at strong coupling, Phys. Rev. Lett. 116, 020601 (2016).
- P. Strasberg and M. Esposito, Stochastic thermodynamics in the strong coupling regime: An unambiguous approach based on coarse graining, Phys. Rev. E 95, 062101 (2017).
- P. Talkner and P. Hänggi, Colloquium: Statistical mechanics and thermodynamics at strong coupling: Quantum and classical, Rev. Mod. Phys. 92, 041002 (2020).
- A. Pal and S. Rahav, Integral fluctuation theorems for stochastic resetting systems, Phys. Rev. E 96, 062135 (2017).