Entanglement Detection by Approximate Entanglement Witnesses
Samuel Dai, Ning Bao

TL;DR
This paper proposes an approach to detect quantum entanglement efficiently by approximating convex polytopes with polynomial-sized sets of entanglement witnesses, potentially enabling high-probability entanglement determination.
Contribution
It introduces a method using high-dimensional convex polytope approximations to identify entanglement with polynomial resources, advancing the computational tools for quantum state analysis.
Findings
Convex polytope approximates Euclidean ball in high dimensions
Polynomial-sized set of entanglement witnesses may suffice
High probability of correctly determining entanglement
Abstract
The problem of determining whether a given quantum state is separable is known to be computationally difficult. We develop an approach to this problem based on approximations of convex polytopes in high dimensions. By showing that a convex polytope constructed from a polynomial number of hyperplanes approximates the Euclidean ball arbitrarily well in high dimensions, we find evidence that a polynomial-sized set of approximate entanglement witnesses is potentially sufficient to determine the entanglement of a state with high probability.
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Taxonomy
TopicsBenford’s Law and Fraud Detection · Computability, Logic, AI Algorithms · Quantum Information and Cryptography
