Symplectic coherence: a measure of position-momentum correlations in quantum states

TL;DR

This paper introduces symplectic coherence, a new measure for quantifying position-momentum correlations in quantum states, with implications for quantum thermodynamics, metrology, and computing, supported by theoretical and operational insights.

Contribution

It establishes a general framework for measuring and analyzing position-momentum correlations using symplectic coherence, linking it to quantum discord and providing structural and operational insights.

Findings

Symplectic coherence is monotone under relevant operations.

Position-momentum correlations relate to beyond-classical correlations.

Maximal correlations depend on energy constraints.

Abstract

The interdependence of position and momentum, as highlighted by the Heisenberg uncertainty principle, is a cornerstone of quantum physics. Yet, position-momentum correlations have received little systematic attention. Motivated by recent developments in bosonic quantum physics that underscore their relevance in quantum thermodynamics, metrology, and computing, we establish a general framework to study and quantify position-momentum correlations in quantum states. We introduce symplectic coherence, a faithful and easily computable measure defined as the Frobenius norm of the block of the covariance matrix encoding position-momentum correlations, and demonstrate that symplectic coherence is monotone under relevant operations and robust under small perturbations. Furthermore, using a recent mapping by Barthe et al. (Phys. Rev. Lett. 134, 070604) which relates the covariance matrix of a bosonic state to the density matrix of a finite-dimensional system, we show that position-momentum correlations correspond to beyond-classical correlations in a virtual finite-dimensional quantum state, with symplectic coherence mapping naturally to geometric quantum discord. Taking energy constraints into account, we determine the maximal position-momentum correlations achievable at fixed energy, revealing structural insights about the corresponding optimal states. Finally, we illustrate the operational relevance of symplectic coherence through several examples in quantum information tasks and quantum thermodynamics. In the process, we establish new technical results on matrix norms and quantum covariance matrices, and demonstrate the conceptual significance of viewing covariance matrices as density matrices of virtual quantum states.