Quick Navigation

Topics

Trapped Ion Quantum Computing

Pseudo-random unitary operators for quantum information processing.

PubMed
Authors: Emerson J, Weinstein YS, Saraceno M, Lloyd S, Cory DG

Year

2003

Paper ID

12993

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

111

Citations

235

Abstract

In close analogy to the fundamental role of random numbers in classical information theory, random operators are a basic component of quantum information theory. Unfortunately, the implementation of random unitary operators on a quantum processor is exponentially hard. Here we introduce a method for generating pseudo-random unitary operators that can reproduce those statistical properties of random unitary operators most relevant to quantum information tasks. This method requires exponentially fewer resources, and hence enables the practical application of random unitary operators in quantum communication and information processing protocols. Using a nuclear magnetic resonance quantum processor, we were able to realize pseudorandom unitary operators that reproduce the expected random distribution of matrix elements.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2003 reference point for readers tracking recent quantum research.
  • In close analogy to the fundamental role of random numbers in classical information theory, random operators are a basic component of quantum information theory.

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 #12993 #69039 SAT, MaxSAT, and SMT for QLDPC ... #69038 Physically Constrained Ensemble... #69023 Scalable Quantum Algorithms for... #69016 Solution of the Equation-of-Mot...

External citation index: OpenAlex citation signal • updated 2026-06-19 08:27:40

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.