We propose a novel framework to describe the time-evolution of dilute classical and quantum gases, initially out of equilibrium and with spatial inhomogeneities, towards equilibrium. Briefly, we divide the system into small cells and consider the local equilibrium hypothesis. We subsequently define a global functional that is the sum of cell -functionals. Each cell functional recovers the corresponding Maxwell-Boltzmann, Fermi-Dirac, or Bose-Einstein distribution function, depending on the classical or quantum nature of the gas. The time-evolution of the system is described by the relationship dH/dt≤0, and the equality condition occurs if the system is in the equilibrium state. Via the variational method, proof of the previous relationship, which might be an extension of the -theorem for inhomogeneous systems, is presented for both classical and quantum gases. Furthermore, the -functionals are in agreement with the correspondence principle. We discuss how the -functionals can be identified with the system's entropy and analyze the relaxation processes of out-of-equilibrium systems.
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http://dx.doi.org/10.3390/e23030366 | DOI Listing |
Sci Adv
January 2025
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
The time-resolved detection of mid- to far-infrared electric fields absorbed and emitted by molecules is among the most sensitive spectroscopic approaches and has the potential to transform sensing in fields such as security screening, quality control, and medical diagnostics. However, the sensitivity of the standard detection approach, which relies on encoding the far-infrared electric field into amplitude modulation of a visible or near-infrared probe laser pulse, is limited by the shot noise of the latter. This constraint cannot be overcome without using a quantum resource.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Data61, CSIRO, Clayton, VIC, 3168, Australia.
The rapid growth of Internet of Things (IoT) devices necessitates efficient data compression techniques to manage the vast amounts of data they generate. Chemiresistive sensor arrays (CSAs), a simple yet essential component in IoT systems, produce large datasets due to their simultaneous multi-sensor operations. Classical principal component analysis (cPCA), a widely used solution for dimensionality reduction, often struggles to preserve critical information in complex datasets.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Department of Physics, MIT, Cambridge, MA 02139, USA.
Maximizing the amount of work harvested from an environment is important for a wide variety of biological and technological processes, from energy-harvesting processes such as photosynthesis to energy storage systems such as fuels and batteries. Here, we consider the maximization of free energy-and by extension, the maximum extractable work-that can be gained by a classical or quantum system that undergoes driving by its environment. We consider how the free energy gain depends on the initial state of the system while also accounting for the cost of preparing the system.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Center for Nonlinear Sciences and Department of Physics, University of North Texas, Denton, TX 76203, USA.
Classically, the refractive index of a medium is due to a response on said medium from an electromagnetic field. It has been shown that a single two-level atom interacting with a single photon undergoes dispersion. The following extends that analyses to a three-level system interacting with two photons.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
National Key Laboratory of Security Communication, Institute of Southwestern Communication, Chengdu 610041, China.
Quantum Random Number Generators (QRNGs) have been theoretically proven to be able to generate completely unpredictable random sequences, and have important applications in many fields. However, the practical implementation of QRNG is always susceptible to the unwanted classical noise or device imperfections, which inevitably diminishes the quality of the generated random bits. It is necessary to perform the post-processing to extract the true quantum randomness contained in raw data generated by the entropy source of QRNG.
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