Evolutionary design of thermodynamic logic gates and their heat emission
- URL: http://arxiv.org/abs/2602.13410v1
- Date: Fri, 13 Feb 2026 19:17:56 GMT
- Title: Evolutionary design of thermodynamic logic gates and their heat emission
- Abstract summary: We show that a genetic algorithm can program a thermodynamic computer to implement logic operations in which the total heat emitted by the control system is of a similar order of magnitude to that of the information-bearing degrees of freedom.<n>The computer can be programmed so that heat is drawn away from the information-bearing degrees of freedom and dissipated within the control unit, suggesting the possibility of computing architectures in which heat management is an integral part of the program design.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Landauer's principle bounds the heat generated by logical operations, but in practice the thermodynamic cost of computation is dominated by the control systems that implement logic. CMOS gates dissipate energy far above the Landauer bound, while laboratory demonstrations of near-Landauer erasure rely on external measurement or feedback systems whose energy costs exceed that of the logic operation by many orders of magnitude. Here we use simulations to show that a genetic algorithm can program a thermodynamic computer to implement logic operations in which the total heat emitted by the control system is of a similar order of magnitude to that of the information-bearing degrees of freedom. Moreover, the computer can be programmed so that heat is drawn away from the information-bearing degrees of freedom and dissipated within the control unit, suggesting the possibility of computing architectures in which heat management is an integral part of the program design.
Related papers
- The thermodynamic freedom of a thermodynamic computer [0.0]
We assess the thermodynamic efficiency of a simulation model of a thermodynamic computer trained to perform a standard machine-learning task.<n>We show that different inference protocols allow the computer to operate within 40% of the thermodynamic limit of efficiency without loss of accuracy.
arXiv Detail & Related papers (2026-08-28T05:27:01Z) - The Thermodynamic Cost of Computing with Heat [0.0]
We prove that the minimal dissipation required to achieve a target average error probability $langle rangle$ diverges as $langle rangle$ approaches a fundamental minimum error floor $epsMin$ imposed by finite-reservoir thermal fluctuations.<n>Our framework bridges thermodynamics, finite-time information theory, and autonomous computation, providing rigorous design principles for energy-efficient hardware.
arXiv Detail & Related papers (2026-08-09T19:51:57Z) - Thermodynamic Recycling in Quantum Computing: Demonstration Using the Harrow-Hassidim-Lloyd Algorithm and Information Erasure [0.3867363075280543]
We propose a framework that reuses failure branches as thermodynamic resources.<n>By coupling this bath to a target system prior to relaxation, useful thermodynamic tasks can be performed.<n>We demonstrate the framework by implementing the Harrow-Hassidim-Lloyd algorithm on IBM's superconducting quantum processor.
arXiv Detail & Related papers (2026-01-12T13:25:08Z) - Training thermodynamic computers by gradient descent [0.0]
We show how to adjust the parameters of a thermodynamic computer by descent in order to perform a desired computation.<n>We estimate the thermodynamic advantage -- the ratio of energy costs of the digital and thermodynamic implementations -- to exceed seven orders of magnitude.
arXiv Detail & Related papers (2025-09-18T18:12:55Z) - Thermodynamic computing out of equilibrium [0.0]
We present the design for a thermodynamic computer that can perform arbitrary nonlinear calculations in or out of equilibrium.<n>Simple thermodynamic circuits, fluctuating degrees of freedom in contact with a thermal bath, display an activity that is a nonlinear function of their input.<n>We simulate a digital model of a thermodynamic neural network, and show that its parameters can be adjusted by genetic algorithm to perform nonlinear calculations at specified observation times.
arXiv Detail & Related papers (2024-12-22T22:51:51Z) - Thermodynamics-Consistent Graph Neural Networks [50.0791489606211]
We propose excess Gibbs free energy graph neural networks (GE-GNNs) for predicting composition-dependent activity coefficients of binary mixtures.
The GE-GNN architecture ensures thermodynamic consistency by predicting the molar excess Gibbs free energy.
We demonstrate high accuracy and thermodynamic consistency of the activity coefficient predictions.
arXiv Detail & Related papers (2024-07-08T06:58:56Z) - Autonomous Payload Thermal Control [55.2480439325792]
In small satellites there is less room for heat control equipment, scientific instruments, and electronic components.
An autonomous thermal control tool that uses deep reinforcement learning is proposed for learning the thermal control policy onboard.
The proposed framework is able to learn to control the payload processing power to maintain the temperature under operational ranges.
arXiv Detail & Related papers (2023-07-28T09:40:19Z) - A Universal Constraint on Computational Rates in Physical Systems [0.0]
General proof is given for open quantum systems showing that a computer thermally coupled to its environment will necessarily dissipate entropy (and hence heat)
Specifically, a lower bound is obtained that corresponds to the adiabatic regime, in which the amount of entropy dissipated per computational operation is proportional to the rate of computation.
arXiv Detail & Related papers (2022-08-23T21:18:53Z) - Open-system approach to nonequilibrium quantum thermodynamics at
arbitrary coupling [77.34726150561087]
We develop a general theory describing the thermodynamical behavior of open quantum systems coupled to thermal baths.
Our approach is based on the exact time-local quantum master equation for the reduced open system states.
arXiv Detail & Related papers (2021-09-24T11:19:22Z) - Qubit thermodynamics far from equilibrium: two perspectives about the
nature of heat and work in the quantum regime [68.8204255655161]
We develop an alternative theoretical framework for the thermodynamic analysis of two-level systems.
We observe the appearance of a new term of work, which represents the energy cost of rotating the Bloch vector in presence of the external field that defines the local Hamiltonian.
In order to illustrate our findings we study, from both perspectives, matter-radiation interaction processes for two different systems.
arXiv Detail & Related papers (2021-03-16T09:31:20Z) - Revisiting thermodynamics in computation and information theory [4.757470449749876]
The analysis of the thermodynamic cost of computation is one of the prime focuses of research.
The advancement of physics has helped us to understand the connection of the statistical mechanics (the thermodynamics cost) with computation.
arXiv Detail & Related papers (2021-02-19T15:24:45Z) - NeurOpt: Neural network based optimization for building energy
management and climate control [58.06411999767069]
We propose a data-driven control algorithm based on neural networks to reduce this cost of model identification.
We validate our learning and control algorithms on a two-story building with ten independently controlled zones, located in Italy.
arXiv Detail & Related papers (2020-01-22T00:51:03Z) - Simulation of Thermal Relaxation in Spin Chemistry Systems on a Quantum
Computer Using Inherent Qubit Decoherence [53.20999552522241]
We seek to take advantage of qubit decoherence as a resource in simulating the behavior of real world quantum systems.
We present three methods for implementing the thermal relaxation.
We find excellent agreement between our results, experimental data, and the theoretical prediction.
arXiv Detail & Related papers (2020-01-03T11:48:11Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.