Multiparameter quantum estimation and Stirling Engine Performance in a Gravitational Cat State System
Omar Bachain, Mohamed Amazioug, Rachid Ahl Laamara

TL;DR
This paper explores the limits of quantum parameter estimation and the performance of a quantum Stirling engine in a gravitational cat state system, revealing optimal conditions for precision and efficiency.
Contribution
It provides analytical expressions for estimation bounds of multiple parameters and analyzes the thermodynamic cycle of a gravcat system, linking quantum metrology with thermodynamics.
Findings
Optimal estimation regions enhance measurement precision.
Performance depends on interaction strength, energy gap, and temperature.
The quantum heat engine efficiency is evaluated within the system.
Abstract
We investigate the multiparameter quantum estimation and quantum thermodynamics properties of a gravitational cat state (gravcat) system composed of two interacting massive particles confined in double-well potentials. The system is described by an effective Hamiltonian involving the energy splitting parameter and the gravitational coupling strength , while the interaction with a thermal environment is modeled through a Gibbs thermal state. Within the framework of quantum parameter estimation theory, we employ the quantum Fisher information matrix (QFIM) to analyze the precision limits for estimating the three fundamental parameters of the model, namely the gravitational coupling , the energy splitting , and the temperature . Utilizing the symmetric logarithmic derivative (SLD) formalism within the QFIM framework, we derive the analytical expressions…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum Information and Cryptography · Statistical Mechanics and Entropy
