Operation fidelity explored by numerical range of Kraus operators
Igor Che{\l}stowski, Grzegorz Rajchel-Mieldzio\'c, Karol \.Zyczkowski

TL;DR
This paper investigates the statistical properties of operation fidelity in quantum channels using the joint numerical range of Kraus operators, providing analytic expressions and applications for quantum device characterization.
Contribution
It introduces a novel approach using the joint numerical range of Kraus operators to analyze operation fidelity, including deriving explicit distributions for specific channels.
Findings
Derived analytic expressions for fidelity distributions in certain channels
Identified extreme values and probability distributions of operation fidelity
Showed how fidelity distributions can distinguish quantum operations
Abstract
Present-day quantum devices require precise implementation of desired quantum channels. To characterize the quality of implementation one uses the average operation fidelity , defined as the fidelity between an initial pure state and its image with respect to the analyzed operation, averaged over an ensemble of pure states. We analyze statistical properties of the operation fidelity for low-dimensional channels and study its extreme values and probability distribution, both of which can be used for statistical channel discrimination. These results are obtained with help of the joint numerical range of the set of Kraus operators representing a channel. Analytic expressions for the density are derived in some particular cases including unitary and mixed unitary channels as well as quantum maps represented by commuting Kraus operators. Measured distributions of…
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.
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 · Advanced Thermodynamics and Statistical Mechanics
