The quantum Mpemba effect in a three-level system is described using the SEAQT framework with Hilbert space projection and a machine-learning-fitted relaxation parameter.
Steepest-entropy- ascent framework for predicting arsenic adsorption on graphene oxide surfaces: A case study
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Description of the Quantum Mpemba Effect using the Steepest-Entropy-Ascent Quantum Thermodynamics Framework
The quantum Mpemba effect in a three-level system is described using the SEAQT framework with Hilbert space projection and a machine-learning-fitted relaxation parameter.