Temporal Kirkwood-Dirac Quasiprobability Distribution and Unification of Temporal State Formalisms through Temporal Bloch Tomography
Zhian Jia, Kavan Modi, Dagomir Kaszlikowski
TL;DR
The paper extends KD/MH quasiprobabilities to temporal and spatiotemporal quantum processes by defining left, right, and doubled KD distributions and their MH real parts, with CPTP marginals obeying Kolmogorov consistency. It introduces a temporal characteristic function and an interferometric measurement scheme to reconstruct these distributions, and clarifies the link between KD and weak values in temporal settings. Crucially, temporal Bloch tomography unifies diverse temporal state formalisms (including PDOs and process tensors) under a single KD-based framework, enabling information-complete temporal and spatiotemporal tomography. The approach provides operational tools to quantify temporal nonclassicality, analyze causal structure in quantum dynamics, and explore metrological advantages in temporal processes.
Abstract
Temporal quantum states generalize the multipartite density operator formalism to the time domain, enabling a unified treatment of quantum systems with both timelike and spacelike correlations. Despite a growing body of temporal state formalisms, their precise operational relationships and conceptual distinctions remain unclear. In this work, we resolve this issue by extending the Kirkwood-Dirac (KD) quasiprobability distribution to arbitrary multi-time quantum processes and, more broadly, to general spatiotemporal settings. We define left, right, and doubled temporal KD quasiprobabilities, together with their real components, which we identify as temporal Margenau-Hill (MH) quasiprobabilities. All of these quantities are experimentally accessible through interferometric measurement schemes. By characterizing their nonclassical features, we show that the generalized KD framework provides a unified operational foundation for a wide class of temporal state approaches and can be directly implemented via temporal or spatiotemporal Bloch tomography.
