Entanglement-Assisted Discrimination of Nonlocal Sets of Orthogonal States
Ziying Hou, Huaqi Zhou, Limin Gao

TL;DR
This paper develops resource-efficient protocols for discriminating nonlocal orthogonal quantum states using multipartite entanglement and LOCC, highlighting the operational role of entanglement in quantum information processing.
Contribution
It introduces new LOCC discrimination protocols utilizing multipartite entanglement, reducing resource consumption for nonlocal state discrimination tasks.
Findings
Protocols for GHZ bases in 4- and 5-qubit systems requiring only one EPR pair.
Protocols avoiding teleportation consume fewer resources on average.
Higher-partite GHZ resources can reduce overall entanglement costs.
Abstract
Entanglement-assisted discrimination of orthogonal quantum states exhibiting quantum nonlocality is a frontier topic in quantum information theory. In this paper, we investigate the role of multipartite entanglement and develop resource-efficient LOCC discrimination protocols for nonlocal sets of orthogonal states, including multipartite orthogonal product-state sets and entangled-state sets with different nonlocal features. By incorporating controlled-NOT (CNOT) operations into the discrimination procedure, we construct protocols for genuinely nonlocal GHZ bases in four- and five-qubit systems that require only a single EPR pair. For the same target sets, we compare different entanglement-assisted schemes and identify those with lower entanglement consumption. We further observe that, on average, protocols avoiding teleportation consume fewer resources than teleportation-based…
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 Mechanics and Applications · Quantum Computing Algorithms and Architecture
