You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.

Quick Navigation

Topics

Trapped Ion Quantum Computing Quantum Chemistry

Experimental realization of an order-finding algorithm with an NMR quantum computer.

PubMed
Authors: Vandersypen LM, Steffen M, Breyta G, Yannoni CS, Cleve R, Chuang IL

Year

2000

Paper ID

13267

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

69

Citations

1

Abstract

We report the realization of a nuclear magnetic resonance quantum computer which combines the quantum Fourier transform with exponentiated permutations, demonstrating a quantum algorithm for order finding. This algorithm has the same structure as Shor's algorithm and its speed-up over classical algorithms scales exponentially. The implementation uses a particularly well-suited five quantum bit molecule and was made possible by a new state initialization procedure and several quantum control techniques.

Why This Paper Matters

  • This paper contributes to the Quantum Chemistry research area in the Quantum Articles archive.
  • It adds a 2000 reference point for readers tracking recent quantum research.
  • We report the realization of a nuclear magnetic resonance quantum computer which combines the quantum Fourier transform with exponentiated permutations, demonstrating a quantum...

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.

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 #13267 #69012 Projector Quantum Variational A... #69006 Elucidating the Control of Circ... #69042 Simultaneous Fragment Docking f... #69039 SAT, MaxSAT, and SMT for QLDPC ...

External citation index: OpenAlex citation signal • updated 2026-06-19 16:43:11

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.