Quick Navigation

Topics

Trapped Ion Quantum Computing Superconducting Qubits

Demonstrating quantum speed-up in a superconducting two-qubit processor

arXiv
Authors: A. Dewes, R. Lauro, F. R. Ong, V. Schmitt, P. Milman, P. Bertet, D. Vion, D. Esteve

Year

2011

Paper ID

29070

Status

Preprint

Abstract Read

~2 min

Abstract Words

79

Citations

N/A

Abstract

We operate a superconducting quantum processor consisting of two tunable transmon qubits coupled by a swapping interaction, and equipped with non destructive single-shot readout of the two qubits. With this processor, we run the Grover search algorithm among four objects and find that the correct answer is retrieved after a single run with a success probability between 0.52 and 0.67, significantly larger than the 0.25 achieved with a classical algorithm. This constitutes a proof-of-concept for the quantum speed-up of electrical quantum processors.

Why This Paper Matters

  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
  • It adds a 2011 reference point for readers tracking recent quantum research.
  • We operate a superconducting quantum processor consisting of two tunable transmon qubits coupled by a swapping interaction, and equipped with non destructive single-shot...

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 #29070 #69595 Tantalum as a base material for... #69534 Readout-Induced Leakage in Supe... #69599 Tensor network compression usin... #69590 Quantum Simulation of Spin-Depe...

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.