Work

Adaptive negativity estimation via collective measurements

Year: 2026

Type: article

Abstract: This paper explores an efficient method for entanglement quantification in two-qubit and qubit-qutrit quantum systems based upon the framework of collective measurements in conjunction with machine learning. We introduce an adaptive measurement procedure in which measurement settings are dynamically adjusted based on prior measurement outcomes aiming to optimize the inference precision given a limited number of these measurement settings. The procedure makes use of the Long Short-Term Memory networks to recurrently process collective measurements on two copies of the investigated states. Obtained results demonstrate the tangible benefits of the adaptive measurements in comparison to previously described non-adaptive strategies.

Source: Physical Review Research

DOI: 10.1103/jt3b-78qw

Authors: Martin Zeman, Vojtěch Trávníček, Antonín Černoch, Jan Soubusta, Karel Lemr

Language: English

Topic: Quantum Information and Cryptography

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funder: Grantová Agentura České Republiky

Awards: G2678520069, Collective entanglement witnesses enabling new discoveries and applications