Quick Navigation

Topics

Quantum Entropy Information Measures

Measuring the Renyi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer

arXiv
Authors: Norbert M. Linke, Sonika Johri, Caroline Figgatt, Kevin A. Landsman, Anne Y. Matsuura, Christopher Monroe

Year

2017

Paper ID

2562

Status

Preprint

Abstract Read

~2 min

Abstract Words

97

Citations

N/A

Abstract

The efficient simulation of correlated quantum systems is the most promising near-term application of quantum computers. Here, we present a measurement of the second Renyi entropy of the ground state of the two-site Fermi-Hubbard model on a 5-qubit programmable quantum computer based on trapped ions. Our work illustrates the extraction of a non-linear characteristic of a quantum state using a controlled-swap gate acting on two copies of the state. This scalable measurement of entanglement on a universal quantum computer will, with more qubits, provide insights into many-body quantum systems that are impossible to simulate on classical computers.

Why This Paper Matters

  • This paper contributes to the Quantum Entropy & Information Measures research area in the Quantum Articles archive.
  • It adds a 2017 reference point for readers tracking recent quantum research.
  • The efficient simulation of correlated quantum systems is the most promising near-term application of quantum computers.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #2562

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.