Advantages of the Kirkwood-Dirac distribution among general quasi-probabilities for finite-state quantum systems
Shun Umekawa, Jaeha Lee, Naomichi Hatano

TL;DR
This paper demonstrates that the Kirkwood-Dirac distribution uniquely behaves like a genuine probability and provides more accessible information in finite-state quantum systems, outperforming other quasi-probabilities like the Wigner function.
Contribution
It establishes the Kirkwood-Dirac distribution as the most suitable quasi-probability for finite-state quantum systems, highlighting its similarity to true probabilities and its ability to distinguish quantum states.
Findings
Kirkwood-Dirac distribution behaves more like a genuine probability than other quasi-probabilities.
States of two- and three-state systems can be fully distinguished using the Kirkwood-Dirac distribution.
The imaginary part of the distribution is crucial for state distinguishability in two-state systems.
Abstract
We investigate features of the quasi-joint-probability distribution for finite-state quantum systems, especially the two-state and three-state quantum systems, comparing different types of quasi-joint-probability distributions based on the general framework of quasi-classicalization. We show from two perspectives that the Kirkwood-Dirac distribution is the quasi-joint-probability distribution that behaves nicely for the finite-state quantum systems. One is the similarity to the genuine probability and the other is the information that we can obtain from the quasi-probability. By introducing the concept of the possible values of observables, we show for the finite-state quantum systems that the Kirkwood-Dirac distribution behaves more similarly to the genuine probability distribution in contrast to most of the other quasi-probabilities including the Wigner function. We also prove that…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Statistical Mechanics and Entropy
