Campisi Michele, Buffoni Lorenzo
NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, I-56127 Pisa, Italy.
Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino (FI), Italy.
Phys Rev E. 2021 Aug;104(2):L022102. doi: 10.1103/PhysRevE.104.L022102.
For a system described by a multivariate probability density function obeying the fluctuation theorem, the average dissipation is lower bounded by the degree of asymmetry of the marginal distributions (namely the relative entropy between the marginal and its mirror image). We formally prove that such a lower bound is tighter than the recently reported bound expressed in terms of the precision of the marginal (i.e., the thermodynamic uncertainty relation) and is saturable. We illustrate the result with examples and we apply it to achieve one of the most accurate experimental estimations of dissipation associated with quantum annealing to date.
对于一个由服从涨落定理的多元概率密度函数描述的系统,平均耗散由边际分布的不对称程度(即边际分布与其镜像之间的相对熵)给出下界。我们正式证明,这样的下界比最近报道的以边际精度表示的界(即热力学不确定性关系)更紧且是可饱和的。我们用例子说明了这一结果,并将其应用于实现迄今为止与量子退火相关的最精确的耗散实验估计之一。