Distance-based resource quantification for sets of quantum measurements
Lucas Tendick, Martin Kliesch, Hermann Kampermann, Dagmar Bru{\ss}

TL;DR
This paper introduces a novel distance-based framework for quantifying resources in sets of quantum measurements, providing analytical bounds and a hierarchy of measurement resources, with implications for Bell experiments.
Contribution
It develops a new distance-based approach to quantify measurement resources, establishing a hierarchy and tight bounds, which was not previously done in this context.
Findings
Defined distance functions between sets of quantum measurements.
Established a hierarchy of measurement resources based on the diamond norm.
Derived tight analytical bounds on measurement incompatibility.
Abstract
The advantage that quantum systems provide for certain quantum information processing tasks over their classical counterparts can be quantified within the general framework of resource theories. Certain distance functions between quantum states have successfully been used to quantify resources like entanglement and coherence. Perhaps surprisingly, such a distance-based approach has not been adopted to study resources of quantum measurements, where other geometric quantifiers are used instead. Here, we define distance functions between sets of quantum measurements and show that they naturally induce resource monotones for convex resource theories of measurements. By focusing on a distance based on the diamond norm, we establish a hierarchy of measurement resources and derive analytical bounds on the incompatibility of any set of measurements. We show that these bounds are tight for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
