Unveiling quantum entanglement in many-body systems from partial information
Ir\'en\'ee Fr\'erot, Flavio Baccari, Antonio Ac\'in

TL;DR
This paper introduces a scalable, data-driven method for detecting multipartite entanglement in many-body quantum systems using arbitrary observable data, applicable even when entanglement structure is unknown.
Contribution
It presents a novel entanglement detection scheme based on positive semidefinite conditions, independent of partial transposition, validated on large many-body states relevant to experiments.
Findings
Validated on theoretical many-body states of hundreds of qubits
Discovered new entanglement witnesses, some analytically characterized
Applicable to experimental quantum advantage regimes
Abstract
Quantum entanglement is commonly assumed to be a central resource for quantum computing and quantum simulation. Nonetheless, the capability to detect it in many-body systems is severely limited by the absence of sufficiently scalable and flexible certification tools. This issue is particularly critical in situations where the structure of entanglement is a priori unknown, and where one cannot rely on existing entanglement witnesses. Here, we implement a scheme in which the knowledge of the mean value of arbitrary observables can be used to probe multipartite entanglement in a scalable, certified and systematic manner. Specifically, we rely on positive semidefinite conditions, independent of partial-transposition-based criteria, necessarily obeyed if the data can be reproduced by a separable state. The violation of any of these conditions yields a specific entanglement witness, tailored…
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