Information-Assisted Carnot Engine Surpasses Standard Thermodynamic Bounds

• URL: http://arxiv.org/abs/2507.13412v1
• Date: Thu, 17 Jul 2025 08:48:23 GMT
• Title: Information-Assisted Carnot Engine Surpasses Standard Thermodynamic Bounds
• Authors: Yang Xiao, Qian Zeng, Jin Wang,
• Abstract summary: We introduce a Carnot information machine (CIE) and obtain a quantitative relationship between the engine performance and information.<n>We demonstrate that the presence of information changes allows the CIE to operate as a heat engine in the regime where the standard Carnot cycle is prohibited.<n>We propose an experimental implementation scheme based on a trapped $40mathrmCa+$ ion.
• Score: 7.27718287447776
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Information can improve heat engine performance, but the underlying principles are still not so clear. Here we introduce a Carnot information machine (CIE) and obtain a quantitative relationship between the engine performance and information. We demonstrate that the presence of information changes allows the CIE to operate as a heat engine in the regime where the standard Carnot cycle is prohibited, ensures that the efficiency of the CIE is greater than or equal to the standard Carnot efficiency, and significantly enables it to achieve 100\% efficiency with positive work extraction for arbitrary two-level systems. We explicitly demonstrate these features using a spin-1/2 system and propose an experimental implementation scheme based on a trapped $^{40}\mathrm{Ca}^+$ ion.

Related papers

• A Single-Ion Information Engine for Charging Quantum Battery [8.254263982373889]
  quantized mechanical motion serves as a quantum battery and gets charged in repeated cycles by a single trapped-ion information engine. This is enabled by a key technological advancement in rapid state discrimination, allowing us to suppress measurement-induced disturbances. The experimental results substantiate that this approach can render trapped ions a promising platform for microscopic information engines with potential applications in the future.
  arXiv  Detail & Related papers  (2024-08-26T15:55:47Z)
• 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)
• Improving Performance of Quantum Heat Engines using modified Otto cycle [0.6554326244334868]
  We modify one of the unitary strokes of the cycle by allowing the system to evolve freely with a particular Hamiltonian till a time. This will help in increasing the magnitude of the heat absorbed from the hot bath so that the work output and efficiency of the engine can be increased.
  arXiv  Detail & Related papers  (2023-02-14T12:18:53Z)
• Efficiency at maximum power of a Carnot quantum information engine [68.8204255655161]
  We introduce a finite-time Carnot cycle for a quantum information engine and optimize its power output in the regime of low dissipation. We investigate the optimal performance of a qubit information engine subjected to weak energy measurements.
  arXiv  Detail & Related papers  (2023-01-31T11:18:12Z)
• Powerful ordered collective heat engines [58.720142291102135]
  We introduce a class of engines in which the regime of units operating synchronously can boost the performance. We show that the interplay between Ising-like interactions and a collective ordered regime is crucial to operate as a heat engine.
  arXiv  Detail & Related papers  (2023-01-16T20:14:19Z)
• Correlation-boosted quantum engine: A proof-of-principle demonstration [0.0]
  We design and implement a non-classically correlated SWAP heat engine that allows to achieve an efficiency above the standard Carnot limit. The boosted efficiency arises from a trade-off between the entropy production and the consumption of quantum correlations. We implement a proof-of-principle demonstration of the engine efficiency enhancement by effectively tailoring the thermal engine on a cloud quantum processor.
  arXiv  Detail & Related papers  (2022-11-21T13:38:54Z)
• Heat transport and cooling performance in a nanomechanical system with local and non local interactions [68.8204255655161]
  We study heat transport through a one dimensional time-dependent nanomechanical system. The system presents different stationary transport regimes depending on the driving frequency, temperature gradients and the degree of locality of the interactions.
  arXiv  Detail & Related papers  (2022-02-21T12:03:54Z)
• The problem of engines in statistical physics [62.997667081978825]
  Engines are open systems that can generate work cyclically, at the expense of an external disequilibrium. Recent advances in the theory of open quantum systems point to a more realistic description of autonomous engines. We show how the external loading force and the thermal noise may be incorporated into the relevant equations of motion.
  arXiv  Detail & Related papers  (2021-08-17T03:59:09Z)
• Collective effects on the performance and stability of quantum heat engines [62.997667081978825]
  Recent predictions for quantum-mechanical enhancements in the operation of small heat engines have raised renewed interest. One essential question is whether collective effects may help to carry enhancements over larger scales. We study how power, efficiency and constancy scale with the number of spins composing the engine.
  arXiv  Detail & Related papers  (2021-06-25T18:00:07Z)

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.