Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Photonic simulation of entanglement growth and engineering after a spin chain quench

Pitsios, Ioannis, Banchi, Leonardo, Rab, Adil S., Bentivegna, Marco, Caprara, Debora, Crespi, Andrea, Spagnolo, Nicolò, Bose, Sougato, Mataloni, Paolo, Osellame, Roberto and Sciarrino, Fabio 2017. Photonic simulation of entanglement growth and engineering after a spin chain quench. Nature Communications 8 (1) , 1569. 10.1038/s41467-017-01589-y

[thumbnail of Pitsios s41467-017-01589-y.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

The time evolution of quantum many-body systems is one of the most important processes for benchmarking quantum simulators. The most curious feature of such dynamics is the growth of quantum entanglement to an amount proportional to the system size (volume law) even when interactions are local. This phenomenon has great ramifications for fundamental aspects, while its optimisation clearly has an impact on technology (e.g., for on-chip quantum networking). Here we use an integrated photonic chip with a circuit-based approach to simulate the dynamics of a spin chain and maximise the entanglement generation. The resulting entanglement is certified by constructing a second chip, which measures the entanglement between multiple distant pairs of simulated spins, as well as the block entanglement entropy. This is the first photonic simulation and optimisation of the extensive growth of entanglement in a spin chain, and opens up the use of photonic circuits for optimising quantum devices.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Physics and Astronomy
Publisher: Nature Publishing Group: Nature Communications
ISSN: 2041-1723
Date of First Compliant Deposit: 10 April 2018
Date of Acceptance: 2 October 2017
Last Modified: 04 May 2023 20:59
URI: https://orca.cardiff.ac.uk/id/eprint/110536

Citation Data

Cited 33 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics