Average relative entropy of random states
By: Lu Wei
Potential Business Impact:
Measures how different quantum states are.
Relative entropy serves as a cornerstone concept in quantum information theory. In this work, we study relative entropy of random states from major generic state models of Hilbert-Schmidt and Bures-Hall ensembles. In particular, we derive exact yet explicit formulas of average relative entropy of two independent states of arbitrary dimensions from the same ensemble as well as from two different ensembles. One ingredient in obtaining the results is the observed factorization of ensemble averages after evaluating the required unitary integral. The derived exact formula in the case of Hilbert-Schmidt ensemble complements the work by Kudler-Flam (2021 Phys Rev Lett 126 171603), where the corresponding asymptotic formula for states of equal dimensions was obtained based on the replica method.
Similar Papers
Estimating quantum relative entropies on quantum computers
Quantum Physics
Compares secret quantum information faster.
Computational Relative Entropy
Quantum Physics
Makes computers understand information better with limits.
On Estimating the Quantum Tsallis Relative Entropy
Quantum Physics
Helps computers tell apart secret quantum codes.