aiqbench analysis
This numerical study confirms that the fluctuation term in the eigenstate thermalization hypothesis (ETH) generally increases monotonically with entropy in two-dimensional systems. The findings reveal that this function flattens at a rate proportional to system size and particle number, offering critical insights for intermediate-scale quantum devices up to a few hundred qubits. While the trend holds broadly, the order parameter during thermal phase transitions represents a notable exception to this monotonic behavior.
Monotonicity of eigenstate thermalization hypothesis in two-dimensional systems
arXiv:2510.25711v2 Announce Type: replace-cross Abstract: We study numerically the enveloping $f$-function of the fluctuation term in eigenstate thermalization hypothesis (ETH) statement. We concentrate on the energy (or entropy) dependence of this function in two-dimensional systems. Our numerical results show that it is, in general, a monotonically increasing function of the entropy. This is in agreement with the general expectation that fluctuations increase with increasing entropy. We show that the $f$-function locally flattens with increasing system-size. The flattening rate is directly proportional to the system size. We also show that the flattening rate is directly proportional to the particle number for systems of same spatial size. This variation of the $f$-function is important for physics at subleading order of the system-size. So, it is relevant for intermediate-size systems (upto a few hundred qubits) which are experimentally accessible. One exception we found is that the $f$-function of the order parameter of a thermal phase transition defy the monotonic behaviour.
Abstract:We study numerically the enveloping $f$-function of the fluctuation term in eigenstate thermalization hypothesis (ETH) statement. We concentrate on the energy (or entropy) dependence of this function in two-dimensional systems. Our numerical results show that it is, in general, a monotonically increasing function of the entropy. This is in agreement with the general expectation that fluctuations increase with increasing entropy. We show that the $f$-function locally flattens with increasing system-size. The flattening rate is directly proportional to the system size. We also show that the flattening rate is directly proportional to the particle number for systems of same spatial size. This variation of the $f$-function is important for physics at subleading order of the system-size. So, it is relevant for intermediate-size systems (upto a few hundred qubits) which are experimentally accessible. One exception we found is that the $f$-function of the order parameter of a thermal phase transition defy the monotonic behaviour.
Statistical Mechanics (cond-mat.stat-mech); High Energy Physics - Theory (hep-th); Chaotic Dynamics (nlin.CD); Quantum Physics (quant-ph)
arXiv:2510.25711 [cond-mat.stat-mech]
(or arXiv:2510.25711v2 [cond-mat.stat-mech] for this version)
https://doi.org/10.48550/arXiv.2510.25711 Focus to learn more arXiv-issued DOI via DataCite
ETH_monotonicity_analysis_HCB_Ob1.nb
ETH_monotonicity_analysis_TFIM_Os1.nb
TFIM_chaotic_check.nb
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