← all papers · overview

Comparing probability distributions: application to quantum states of light

Abstract

Probability distributions play a central role in quantum mechanics, and even more so in quantum optics with its rich diversity of theoretically conceivable and experimentally accessible quantum states of light. Quantifiers that compare two different states or density matrices in terms of `distances' between the respective probability distributions include the Kullback-Leibler divergence D_ KL, the Bhattacharyya distance D_ B, and the p-Wasserstein distance W_p. We present a novel application of these notions to a variety of photon states, focusing particularly on the p=1 Wasserstein distance W₁ as it is a proper distance measure in the space of probability distributions.

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).