Litcius/Paper detail

Mixed-State Entanglement from Local Randomized Measurements

Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, P. Zoller, Benoît Vermersch

2020Physical Review Letters307 citationsDOIOpen Access PDF

Abstract

We propose a method for detecting bipartite entanglement in a many-body mixed state based on estimating moments of the partially transposed density matrix. The estimates are obtained by performing local random measurements on the state, followed by postprocessing using the classical shadows framework. Our method can be applied to any quantum system with single-qubit control. We provide a detailed analysis of the required number of experimental runs, and demonstrate the protocol using existing experimental data [Brydges et al., Science 364, 260 (2019)SCIEAS0036-807510.1126/science.aau4963].

Topics & Concepts

Quantum entanglementState (computer science)PhysicsQuantum mechanicsStatistical physicsComputer scienceQuantumAlgorithmQuantum many-body systemsQuantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Mixed-State Entanglement from Local Randomized Measurements | Litcius