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</script>AbstractRemarkable progress of quantum information theory (QIT) allowed to formulate mathematical theorems for conditions that data-transmitting or data-processing occurs with a non-negative entropy gain. However, relation of these results formulated in terms of entropy gain in quantum channels to temporal evolution of real physical systems is not thoroughly understood. Here we build on the mathematical formalism provided by QIT to formulate the quantum H-theorem in terms of physical observables. We discuss the manifestation of the second law of thermodynamics in quantum physics and uncover special situations where the second law can be violated. We further demonstrate that the typical evolution of energy-isolated quantum systems occurs with non-diminishing entropy.
Quantum Physics, Quantum information; Quantum mechanics; Qubits, Statistical Mechanics (cond-mat.stat-mech), Quantum information, 82C10, FOS: Physical sciences, Quantum Physics (quant-ph), Quantum mechanics, Qubits, Condensed Matter - Statistical Mechanics, Article
Quantum Physics, Quantum information; Quantum mechanics; Qubits, Statistical Mechanics (cond-mat.stat-mech), Quantum information, 82C10, FOS: Physical sciences, Quantum Physics (quant-ph), Quantum mechanics, Qubits, Condensed Matter - Statistical Mechanics, Article
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
