Detection of genuine n-qubit entanglement via the proportionality of two vectors
Dafa Li

TL;DR
This paper introduces a new criterion for detecting genuine n-qubit entanglement based on the proportionality of coefficient vectors, avoiding complex decompositions and extending previous polytope-based methods.
Contribution
It establishes a novel proportionality-based condition for identifying genuinely entangled states of n qubits, improving detection efficiency and generalizing prior approaches.
Findings
A pure product state coefficient vector cannot be decomposed into a tensor product after any permutation.
A state is genuinely entangled if its coefficient vector has non-proportional block vectors under all permutations.
The paper provides a full decomposition theorem for product states of n qubits.
Abstract
In [Science 340, 1205, 7 June (2013)], via polytopes Michael Walter et al. proposed a sufficient condition detecting the genuinely entangled pure states. In this paper, we indicate that generally, the coefficient vector of a pure product state of qubits cannot be decomposed into a tensor product of two vectors, and show that a pure state of qubits is a product state if and only if there exists a permutation of qubits such that under the permutation, its coefficient vector arranged in ascending lexicographical order can be decomposed into a tensor product of two vectors. The contrapositive of this result reads that a pure state of qubits is genuinely entangled if and only if its coefficient vector cannot be decomposed into a tensor product of two vectors under any permutation of qubits. Further, by dividing a coefficient vector into equal-size block vectors, we show…
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 Computing Algorithms and Architecture · Quantum Information and Cryptography · Computability, Logic, AI Algorithms
