Abstract
A pair of quantum observables diagonal in the same "incoherent" basis can be measured jointly, so some coherence is obviously required for measurement incompatibility. Here we first observe that coherence in a single observable is linked to the diagonal elements of any observable jointly measurable with it, leading to a general criterion for the coherence needed for incompatibility. Specialising to the case where the second observable is incoherent (diagonal), we develop a concrete method for solving incompatibility problems, tractable even in large systems by analytical bounds, without resorting to numerical optimisation. We verify the consistency of our method by a quick proof of the known noise bound for mutually unbiased bases, and apply it to study emergent classicality in the spin-boson model of an N-qubit open quantum system. Finally, we formulate our theory in an operational resource-theoretic setting involving "genuinely incoherent operations" used previously in the literature, and show that if the coherence is insufficient to sustain incompatibility, the associated joint measurements have sequential implementations via incoherent instruments.
Highlights
Coherence typically refers to nonzero off-diagonal elements in a quantum state, and is an essential resource for quantum information tasks [1,2,3,4,5]
It is natural to ask how coherence is related to incompatibility of general observables – positive operator valued measures (POVMs)
Our key observation is the following: while incompatibility of POVMs is not linked to the overall coherence in their matrices, there is an asymmetric entrywise relation: coherences in one POVM are linked to the corresponding diagonal probabilities of any POVM jointly measurable with it
Summary
Coherence typically refers to nonzero off-diagonal elements in a quantum state, and is an essential resource for quantum information tasks [1,2,3,4,5]. It is natural to ask how coherence is related to incompatibility of general observables – positive operator valued measures (POVMs).
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