Detecting and protecting entanglement through nonlocality, variational entanglement witness, and nonlocal measurements
Haruki Matsunaga, and Le Bin Ho

TL;DR
This paper introduces a variational entanglement witness and a nonlocal measurement framework to improve the detection and preservation of quantum entanglement, surpassing limitations of traditional CHSH-based methods.
Contribution
It presents a novel variational entanglement witness and nonlocal measurement approach that enhance entanglement detection and protection without destroying the quantum states.
Findings
Improved detection efficiency of entanglement.
Enhanced ability to distinguish entangled from separable states.
Preservation of entanglement during measurement.
Abstract
We propose an innovative method to enhance the detection and protection of quantum entanglement, a cornerstone of quantum mechanics with applications in computing, communication, and beyond. While entanglement can be represented through nonlocal correlations detectable by the Clauser-Horne-Shimony-Holt (CHSH) inequality, this method does not fully capture all entangled states. To address this limitation, we introduce a variational entanglement witness (VEW) that optimizes the probabilities of detection and improves the efficiency of distinguishing between separable and entangled states. Additionally, we propose a novel nonlocal measurement framework that enables the assessment of both CHSH inequalities and the VEW while preserving the entanglement. Our approach enhances the reliability of entanglement detection while maintaining the entanglement of quantum states, offering significant…
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
TopicsAdvancements in Semiconductor Devices and Circuit Design · Adversarial Robustness in Machine Learning · Ultrasonics and Acoustic Wave Propagation
