Year: 2020
Type: article
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].
Source: Physical Review Letters
Institutions: Austrian Academy of Sciences, Universität Innsbruck, Institute for Quantum Optics and Quantum Information Innsbruck, Johannes Kepler University of Linz, California Institute of Technology, The Abdus Salam International Centre for Theoretical Physics (ICTP), Scuola Internazionale Superiore di Studi Avanzati, Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, Centre National de la Recherche Scientifique, Laboratoire de Physique et Modélisation des Milieux Condensés, Université Grenoble Alpes
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, U.S. Department of Energy, Simons Foundation, California Institute of Technology, European Commission, Österreichischen Akademie der Wissenschaften, Austrian Science Fund, Ministero dell’Istruzione, dell’Università e della Ricerca, Horizon 2020 Framework Programme, Army Research Office, H2020 European Research Council
Awards: G168288183, G221035613, G225723456, G2958415499, G3009587448, Atoms, Light, and Molecules, G434337789, G4345038503, G5062013453, The Institute for Quantum Information and Matter: Advancing the Entanglement Frontier, QuantERA ERA-NET Cofund in Quantum Technologies, G6439327152, New states of Entangled Matter Out of equilibrium, Atomic Gauge and Entanglement Theories, G7452299184, G7780806309, FUNDAMENTAL ALGORITHMIC RESEARCH FOR QUANTUM COMPUTING(FAR-QC), G8420134524, Programmable Atomic Large-Scale Quantum Simulation, G899235810, G929105541, G961819192
OpenAlex ID: W3041649645